04_psm
2022-04-08
Propensity score matching
0.1 Library
library(dplyr)##
## Attache Paket: 'dplyr'## Die folgenden Objekte sind maskiert von 'package:stats':
##
## filter, lag## Die folgenden Objekte sind maskiert von 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(formr)##
## Attache Paket: 'formr'## Die folgenden Objekte sind maskiert von 'package:dplyr':
##
## first, lastlibrary(ggplot2)
library(MatchIt)
library(optmatch)
library(cobalt)## cobalt (Version 4.3.2, Build Date: 2022-01-19)##
## Attache Paket: 'cobalt'## Das folgende Objekt ist maskiert 'package:MatchIt':
##
## lalondelibrary(psych)##
## Attache Paket: 'psych'## Die folgenden Objekte sind maskiert von 'package:ggplot2':
##
## %+%, alpha## set options for bal.tab function in cobalt package
set.cobalt.options(binary = "std") # for binary covariates used in the matching procedure the bal.tab function will now display standardized mean differences instead of the raw difference0.2 Load data
data_main = read.csv(file = "data/data_main.csv")[,-1]1. PSM for partner preferences
Check for missings in covariates to be matched
psm cannot handle missings covariates: language, age, country, relationship status, relationship length
# MatchIt does not allow missing values
data_main_nomiss <- data_main %>% select(id, language, age, sex, country, relationship_status, relationship_length, sexual_orientation,
pref_imp_ks, pref_imp_att, pref_imp_fs, pref_imp_ca,
pref_imp_ei, pref_imp_sexually_experienced) %>%
na.omit()
table(is.na(data_main_nomiss)) # no more NAs in data set##
## FALSE
## 659904Check if correct variable type
typeof(data_main_nomiss$sexual_orientation) # is variable of type character, but for PSM it needs to be a factor## [1] "character"data_main_nomiss$sexual_orientation = as.factor(data_main_nomiss$sexual_orientation) # convert to factor
levels(data_main_nomiss$sexual_orientation) # check levels of factor## [1] "Asexual" "Straight/Heterosexual"data_main_nomiss$sexual_orientation = factor(data_main_nomiss$sexual_orientation,
levels=rev(levels(data_main_nomiss$sexual_orientation))) # reverse order of factor levels
levels(data_main_nomiss$sexual_orientation) # check factor level order## [1] "Straight/Heterosexual" "Asexual"Matching
- Rule: When setting caliper (nearest-neighbor matching), not more than 10% of asexual sample can be discarded
- SMD cut off <.10 (Austin, 2011)
- Variance ratios should be near 0
- Visualization (histograms, Q-Q Plots, Love plots) matching algorithm resulting in smds < 0.1 acrosse the largest number of covariates will be chosen as algorithm for all analyses
Matching with optimal matching algorithm
om = matchit(sexual_orientation ~ language + age + country + relationship_status + relationship_length, method = "optimal", data = data_main_nomiss) # default setting: propensity score is estimated using logistic regression
om_data = match.data(om) # construct a matched data set from match it object om
nrow(om_data) # 780 observations## [1] 780table(om_data$subclass) # data includes only pairs of two observations##
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 381 382 383 384 385 386 387 388 389 390
## 2 2 2 2 2 2 2 2 2 2dim(om_data) # 780 observations and 16 variables## [1] 780 17Check balance
summary_om = summary(om, standardize = T)
print(summary_om)##
## Call:
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "optimal")
##
## Summary of Balance for All Data:
## Means Treated Means Control
## distance 0.0302 0.0081
## languagechinese 0.0000 0.0058
## languagedanish 0.0154 0.0285
## languageenglish 0.4974 0.2273
## languagefrench 0.0641 0.1953
## languagegerman 0.1538 0.1392
## languageitalian 0.0385 0.0629
## languagejapanese 0.0308 0.0240
## languageportuguese 0.0487 0.0727
## languagerussian 0.0179 0.0164
## languagespanish 0.1333 0.2279
## age 23.9410 25.1973
## countryAfghanistan 0.0000 0.0001
## countryAlbania 0.0000 0.0001
## countryAlgeria 0.0026 0.0003
## countryAndorra 0.0000 0.0004
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0001
## countryArgentina 0.0231 0.0172
## countryArmenia 0.0000 0.0001
## countryAruba 0.0000 0.0000
## countryAustralia 0.0333 0.0108
## countryAustria 0.0128 0.0127
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0001
## countryBahrain 0.0000 0.0001
## countryBangladesh 0.0000 0.0000
## countryBarbados 0.0000 0.0001
## countryBelarus 0.0000 0.0010
## countryBelgium 0.0000 0.0091
## countryBelize 0.0000 0.0001
## countryBenin 0.0000 0.0001
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0013
## countryBosnia and Herzegovina 0.0000 0.0003
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0513 0.0684
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0006
## countryBurkina Faso 0.0000 0.0001
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0002
## countryCanada 0.0513 0.0292
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0128 0.0113
## countryChina 0.0000 0.0055
## countryColombia 0.0128 0.0260
## countryCosta Rica 0.0026 0.0036
## countryCote d'Ivoire 0.0000 0.0002
## countryCroatia 0.0000 0.0004
## countryCuba 0.0000 0.0001
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0001
## countryCzechia 0.0077 0.0008
## countryDenmark 0.0154 0.0292
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0001
## countryDominican Republic 0.0026 0.0023
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0061
## countryEgypt 0.0000 0.0001
## countryEl Salvador 0.0000 0.0020
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0006
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0001
## countryFinland 0.0051 0.0016
## countryFrance 0.0436 0.1635
## countryGabon 0.0000 0.0001
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0002
## countryGermany 0.1282 0.1198
## countryGhana 0.0000 0.0001
## countryGreece 0.0000 0.0005
## countryGrenada 0.0000 0.0001
## countryGuatemala 0.0051 0.0033
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## countryHaiti 0.0000 0.0001
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0009
## countryHong Kong 0.0000 0.0007
## countryHungary 0.0000 0.0008
## countryIceland 0.0000 0.0004
## countryIndia 0.0000 0.0023
## countryIndonesia 0.0000 0.0009
## countryIran 0.0026 0.0004
## countryIraq 0.0000 0.0001
## countryIreland 0.0026 0.0038
## countryIsrael 0.0026 0.0010
## countryItaly 0.0410 0.0615
## countryJamaica 0.0000 0.0003
## countryJapan 0.0359 0.0243
## countryJordan 0.0000 0.0001
## countryKazakhstan 0.0000 0.0004
## countryKenya 0.0026 0.0004
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0001
## countryLatvia 0.0000 0.0004
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## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0006
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## countryMalaysia 0.0000 0.0013
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## countryMalta 0.0000 0.0002
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## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0001
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## countryMonaco 0.0000 0.0000
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## countryNamibia 0.0000 0.0001
## countryNetherlands 0.0051 0.0035
## countryNew Zealand 0.0077 0.0036
## countryNicaragua 0.0026 0.0007
## countryNigeria 0.0000 0.0005
## countryNorway 0.0000 0.0010
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0003
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0000 0.0015
## countryParaguay 0.0000 0.0008
## countryPeru 0.0000 0.0089
## countryPhilippines 0.0051 0.0019
## countryPoland 0.0000 0.0006
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## countryQatar 0.0000 0.0002
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## countrySan Marino 0.0000 0.0000
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## countrySenegal 0.0000 0.0003
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## countrySingapore 0.0026 0.0017
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## countrySouth Korea 0.0000 0.0003
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## countrySpain 0.0256 0.0438
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## countryUnited Arab Emirates 0.0000 0.0007
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## countryVietnam 0.0000 0.0002
## countryZimbabwe 0.0000 0.0001
## relationship_statusLong-term 0.2564 0.6305
## relationship_statusNo relationship 0.6897 0.2321
## relationship_statusShort-term 0.0538 0.1373
## relationship_length 1.1564 2.3230
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance 0.7498 4.8204 0.3136
## languagechinese -0.0767 . 0.0058
## languagedanish -0.1062 . 0.0131
## languageenglish 0.5402 . 0.2701
## languagefrench -0.5356 . 0.1312
## languagegerman 0.0406 . 0.0146
## languageitalian -0.1272 . 0.0245
## languagejapanese 0.0392 . 0.0068
## languageportuguese -0.1115 . 0.0240
## languagerussian 0.0116 . 0.0015
## languagespanish -0.2782 . 0.0946
## age -0.1964 0.7691 0.0262
## countryAfghanistan -0.0080 . 0.0001
## countryAlbania -0.0093 . 0.0001
## countryAlgeria 0.0444 . 0.0022
## countryAndorra -0.0192 . 0.0004
## countryAngola -0.0066 . 0.0000
## countryAntigua and Barbuda -0.0093 . 0.0001
## countryArgentina 0.0391 . 0.0059
## countryArmenia -0.0093 . 0.0001
## countryAruba -0.0066 . 0.0000
## countryAustralia 0.1256 . 0.0226
## countryAustria 0.0014 . 0.0002
## countryAzerbaijan -0.0046 . 0.0000
## countryBahamas, The -0.0104 . 0.0001
## countryBahrain -0.0080 . 0.0001
## countryBangladesh -0.0046 . 0.0000
## countryBarbados -0.0093 . 0.0001
## countryBelarus -0.0312 . 0.0010
## countryBelgium -0.0964 . 0.0091
## countryBelize -0.0080 . 0.0001
## countryBenin -0.0080 . 0.0001
## countryBhutan -0.0046 . 0.0000
## countryBolivia -0.0360 . 0.0013
## countryBosnia and Herzegovina -0.0161 . 0.0003
## countryBotswana -0.0046 . 0.0000
## countryBrazil -0.0778 . 0.0172
## countryBrunei -0.0046 . 0.0000
## countryBulgaria -0.0254 . 0.0006
## countryBurkina Faso -0.0080 . 0.0001
## countryBurma -0.0066 . 0.0000
## countryCabo Verde -0.0046 . 0.0000
## countryCambodia -0.0046 . 0.0000
## countryCameroon -0.0147 . 0.0002
## countryCanada 0.1002 . 0.0221
## countryCentral African Republic -0.0066 . 0.0000
## countryChile 0.0137 . 0.0015
## countryChina -0.0748 . 0.0055
## countryColombia -0.1173 . 0.0132
## countryCosta Rica -0.0204 . 0.0010
## countryCote d'Ivoire -0.0131 . 0.0002
## countryCroatia -0.0208 . 0.0004
## countryCuba -0.0114 . 0.0001
## countryCuracao -0.0046 . 0.0000
## countryCyprus -0.0080 . 0.0001
## countryCzechia 0.0792 . 0.0069
## countryDenmark -0.1124 . 0.0138
## countryDjibouti -0.0046 . 0.0000
## countryDominica -0.0080 . 0.0001
## countryDominican Republic 0.0059 . 0.0003
## countryEast Timor (see Timor-Leste) -0.0046 . 0.0000
## countryEcuador -0.0789 . 0.0061
## countryEgypt -0.0114 . 0.0001
## countryEl Salvador -0.0446 . 0.0020
## countryEquatorial Guinea -0.0046 . 0.0000
## countryEstonia -0.0250 . 0.0006
## countryEthiopia -0.0046 . 0.0000
## countryFiji -0.0093 . 0.0001
## countryFinland 0.0490 . 0.0035
## countryFrance -0.5874 . 0.1199
## countryGabon -0.0093 . 0.0001
## countryGambia, The -0.0046 . 0.0000
## countryGeorgia -0.0131 . 0.0002
## countryGermany 0.0252 . 0.0084
## countryGhana -0.0104 . 0.0001
## countryGreece -0.0232 . 0.0005
## countryGrenada -0.0114 . 0.0001
## countryGuatemala 0.0251 . 0.0018
## countryGuinea -0.0046 . 0.0000
## countryGuyana -0.0154 . 0.0002
## countryHaiti -0.0123 . 0.0001
## countryHoly See -0.0066 . 0.0000
## countryHonduras -0.0308 . 0.0009
## countryHong Kong -0.0271 . 0.0007
## countryHungary -0.0279 . 0.0008
## countryIceland -0.0197 . 0.0004
## countryIndia -0.0479 . 0.0023
## countryIndonesia -0.0308 . 0.0009
## countryIran 0.0418 . 0.0021
## countryIraq -0.0080 . 0.0001
## countryIreland -0.0237 . 0.0012
## countryIsrael 0.0312 . 0.0016
## countryItaly -0.1030 . 0.0204
## countryJamaica -0.0186 . 0.0003
## countryJapan 0.0622 . 0.0116
## countryJordan -0.0080 . 0.0001
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## countryKosovo -0.0046 . 0.0000
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## countryLiberia -0.0046 . 0.0000
## countryLibya -0.0066 . 0.0000
## countryLiechtenstein -0.0066 . 0.0000
## countryLithuania -0.0237 . 0.0006
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## countryMadagascar -0.0114 . 0.0001
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## countryMalaysia -0.0363 . 0.0013
## countryMaldives -0.0066 . 0.0000
## countryMali -0.0066 . 0.0000
## countryMalta -0.0139 . 0.0002
## countryMarshall Islands -0.0046 . 0.0000
## countryMauritania -0.0046 . 0.0000
## countryMauritius -0.0114 . 0.0001
## countryMexico -0.1505 . 0.0347
## countryMoldova -0.0080 . 0.0001
## countryMonaco -0.0066 . 0.0000
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## countryMorocco -0.0286 . 0.0008
## countryMozambique -0.0046 . 0.0000
## countryNamibia -0.0114 . 0.0001
## countryNetherlands 0.0227 . 0.0016
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## countryNicaragua 0.0367 . 0.0019
## countryNigeria -0.0218 . 0.0005
## countryNorway -0.0325 . 0.0010
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## countryPanama -0.0394 . 0.0015
## countryParaguay -0.0286 . 0.0008
## countryPeru -0.0949 . 0.0089
## countryPhilippines 0.0451 . 0.0032
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## countryQatar -0.0131 . 0.0002
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## countrySouth Korea -0.0174 . 0.0003
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## countrySri Lanka -0.0104 . 0.0001
## countrySwaziland -0.0046 . 0.0000
## countrySweden 0.0012 . 0.0001
## countrySwitzerland -0.0000 . 0.0000
## countrySyria -0.0046 . 0.0000
## countryTaiwan -0.0186 . 0.0003
## countryTanzania -0.0066 . 0.0000
## countryThailand -0.0186 . 0.0003
## countryTrinidad and Tobago -0.0186 . 0.0003
## countryTunisia -0.0180 . 0.0003
## countryTurkey -0.0254 . 0.0006
## countryTurkmenistan -0.0104 . 0.0001
## countryTuvalu -0.0046 . 0.0000
## countryUganda -0.0093 . 0.0001
## countryUkraine 0.0177 . 0.0009
## countryUnited Arab Emirates -0.0271 . 0.0007
## countryUnited Kingdom 0.0643 . 0.0148
## countryUnited States of America 0.4080 . 0.1851
## countryUruguay 0.0076 . 0.0004
## countryUzbekistan -0.0046 . 0.0000
## countryVenezuela -0.0694 . 0.0047
## countryVietnam -0.0154 . 0.0002
## countryZimbabwe -0.0093 . 0.0001
## relationship_statusLong-term -0.8568 . 0.3741
## relationship_statusNo relationship 0.9892 . 0.4576
## relationship_statusShort-term -0.3698 . 0.0835
## relationship_length -0.3515 0.5841 0.0242
## eCDF Max
## distance 0.5290
## languagechinese 0.0058
## languagedanish 0.0131
## languageenglish 0.2701
## languagefrench 0.1312
## languagegerman 0.0146
## languageitalian 0.0245
## languagejapanese 0.0068
## languageportuguese 0.0240
## languagerussian 0.0015
## languagespanish 0.0946
## age 0.0877
## countryAfghanistan 0.0001
## countryAlbania 0.0001
## countryAlgeria 0.0022
## countryAndorra 0.0004
## countryAngola 0.0000
## countryAntigua and Barbuda 0.0001
## countryArgentina 0.0059
## countryArmenia 0.0001
## countryAruba 0.0000
## countryAustralia 0.0226
## countryAustria 0.0002
## countryAzerbaijan 0.0000
## countryBahamas, The 0.0001
## countryBahrain 0.0001
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## countryBarbados 0.0001
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## countryCambodia 0.0000
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## countryChina 0.0055
## countryColombia 0.0132
## countryCosta Rica 0.0010
## countryCote d'Ivoire 0.0002
## countryCroatia 0.0004
## countryCuba 0.0001
## countryCuracao 0.0000
## countryCyprus 0.0001
## countryCzechia 0.0069
## countryDenmark 0.0138
## countryDjibouti 0.0000
## countryDominica 0.0001
## countryDominican Republic 0.0003
## countryEast Timor (see Timor-Leste) 0.0000
## countryEcuador 0.0061
## countryEgypt 0.0001
## countryEl Salvador 0.0020
## countryEquatorial Guinea 0.0000
## countryEstonia 0.0006
## countryEthiopia 0.0000
## countryFiji 0.0001
## countryFinland 0.0035
## countryFrance 0.1199
## countryGabon 0.0001
## countryGambia, The 0.0000
## countryGeorgia 0.0002
## countryGermany 0.0084
## countryGhana 0.0001
## countryGreece 0.0005
## countryGrenada 0.0001
## countryGuatemala 0.0018
## countryGuinea 0.0000
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## countryHaiti 0.0001
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##
##
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## languagedanish 0.0154 0.0000
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## countryAruba 0.0000 0.0000
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## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
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## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0000
## countrySenegal 0.0000 0.0000
## countrySerbia 0.0000 0.0000
## countrySingapore 0.0026 0.0507
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0000
## countrySlovenia 0.0000 0.0000
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0026 0.0507
## countrySouth Korea 0.0000 0.0000
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0333 0.4380
## countrySri Lanka 0.0000 0.0000
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0507
## countrySwitzerland 0.0590 0.6693
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0000
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0000
## countryTrinidad and Tobago 0.0000 0.0000
## countryTunisia 0.0000 0.0000
## countryTurkey 0.0000 0.0000
## countryTurkmenistan 0.0000 0.0000
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0000
## countryUkraine 0.0000 0.0051
## countryUnited Arab Emirates 0.0000 0.0000
## countryUnited Kingdom 0.0308 0.2890
## countryUnited States of America 0.1333 0.3957
## countryUruguay 0.0026 0.0507
## countryUzbekistan 0.0000 0.0000
## countryVenezuela 0.0000 0.0000
## countryVietnam 0.0000 0.0000
## countryZimbabwe 0.0000 0.0000
## relationship_statusLong-term 0.0385 0.3934
## relationship_statusNo relationship 0.0436 0.3270
## relationship_statusShort-term 0.0051 0.3635
## relationship_length 0.0410 0.5029
##
## Sample Sizes:
## Control Treated
## All 46746 390
## Matched 390 390
## Unmatched 46356 0
## Discarded 0 0bal.tab(om, m.threshold = 0.1, un = T, binary = "std") #sm## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "optimal")
##
## Balance Measures
## Type Diff.Un Diff.Adj
## distance Distance 0.7498 0.0008
## language_chinese Binary -0.0767 0.0000
## language_danish Binary -0.1062 0.1250
## language_english Binary 0.5402 0.3897
## language_french Binary -0.5356 0.2512
## language_german Binary 0.0406 -1.0092
## language_italian Binary -0.1272 0.2000
## language_japanese Binary 0.0392 0.1782
## language_portuguese Binary -0.1115 0.2263
## language_russian Binary 0.0116 0.1159
## language_spanish Binary -0.2782 -0.1207
## age Contin. -0.1964 -0.3467
## country_Afghanistan Binary -0.0080 0.0000
## country_Albania Binary -0.0093 0.0000
## country_Algeria Binary 0.0444 0.0000
## country_Andorra Binary -0.0192 0.0000
## country_Angola Binary -0.0066 0.0000
## country_Antigua and Barbuda Binary -0.0093 0.0000
## country_Argentina Binary 0.0391 0.1195
## country_Armenia Binary -0.0093 0.0000
## country_Aruba Binary -0.0066 0.0000
## country_Australia Binary 0.1256 -0.1571
## country_Austria Binary 0.0014 -0.3419
## country_Azerbaijan Binary -0.0046 0.0000
## country_Bahamas, The Binary -0.0104 0.0000
## country_Bahrain Binary -0.0080 0.0000
## country_Bangladesh Binary -0.0046 0.0000
## country_Barbados Binary -0.0093 0.0000
## country_Belarus Binary -0.0312 0.0000
## country_Belgium Binary -0.0964 0.0000
## country_Belize Binary -0.0080 0.0000
## country_Benin Binary -0.0080 0.0000
## country_Bhutan Binary -0.0046 0.0000
## country_Bolivia Binary -0.0360 0.0000
## country_Bosnia and Herzegovina Binary -0.0161 0.0000
## country_Botswana Binary -0.0046 0.0000
## country_Brazil Binary -0.0778 0.1976
## country_Brunei Binary -0.0046 0.0000
## country_Bulgaria Binary -0.0254 0.0000
## country_Burkina Faso Binary -0.0080 0.0000
## country_Burma Binary -0.0066 0.0000
## country_Cabo Verde Binary -0.0046 0.0000
## country_Cambodia Binary -0.0046 0.0000
## country_Cameroon Binary -0.0147 0.0000
## country_Canada Binary 0.1002 0.1046
## country_Central African Republic Binary -0.0066 0.0000
## country_Chile Binary 0.0137 0.0684
## country_China Binary -0.0748 0.0000
## country_Colombia Binary -0.1173 -0.4331
## country_Costa Rica Binary -0.0204 -0.0507
## country_Cote d'Ivoire Binary -0.0131 0.0000
## country_Croatia Binary -0.0208 0.0000
## country_Cuba Binary -0.0114 0.0000
## country_Curacao Binary -0.0046 0.0000
## country_Cyprus Binary -0.0080 0.0000
## country_Czechia Binary 0.0792 -0.0293
## country_Denmark Binary -0.1124 0.0625
## country_Djibouti Binary -0.0046 0.0000
## country_Dominica Binary -0.0080 0.0000
## country_Dominican Republic Binary 0.0059 0.0507
## country_East Timor (see Timor-Leste) Binary -0.0046 0.0000
## country_Ecuador Binary -0.0789 0.0000
## country_Egypt Binary -0.0114 0.0000
## country_El Salvador Binary -0.0446 0.0000
## country_Equatorial Guinea Binary -0.0046 0.0000
## country_Estonia Binary -0.0250 0.0000
## country_Ethiopia Binary -0.0046 0.0000
## country_Fiji Binary -0.0093 0.0000
## country_Finland Binary 0.0490 0.0000
## country_France Binary -0.5874 0.2009
## country_Gabon Binary -0.0093 0.0000
## country_Gambia, The Binary -0.0046 0.0000
## country_Georgia Binary -0.0131 0.0000
## country_Germany Binary 0.0252 -0.4755
## country_Ghana Binary -0.0104 0.0000
## country_Greece Binary -0.0232 0.0000
## country_Grenada Binary -0.0114 0.0000
## country_Guatemala Binary 0.0251 0.0718
## country_Guinea Binary -0.0046 0.0000
## country_Guyana Binary -0.0154 0.0000
## country_Haiti Binary -0.0123 0.0000
## country_Holy See Binary -0.0066 0.0000
## country_Honduras Binary -0.0308 0.0000
## country_Hong Kong Binary -0.0271 0.0000
## country_Hungary Binary -0.0279 0.0000
## country_Iceland Binary -0.0197 0.0000
## country_India Binary -0.0479 0.0000
## country_Indonesia Binary -0.0308 0.0000
## country_Iran Binary 0.0418 0.0507
## country_Iraq Binary -0.0080 0.0000
## country_Ireland Binary -0.0237 -0.0507
## country_Israel Binary 0.0312 -0.2028
## country_Italy Binary -0.1030 0.0776
## country_Jamaica Binary -0.0186 0.0000
## country_Japan Binary 0.0622 0.1654
## country_Jordan Binary -0.0080 0.0000
## country_Kazakhstan Binary -0.0208 0.0000
## country_Kenya Binary 0.0431 0.0000
## country_Kosovo Binary -0.0046 0.0000
## country_Kuwait Binary -0.0066 0.0000
## country_Kyrgyzstan Binary -0.0080 0.0000
## country_Latvia Binary -0.0213 0.0000
## country_Lebanon Binary -0.0139 0.0000
## country_Liberia Binary -0.0046 0.0000
## country_Libya Binary -0.0066 0.0000
## country_Liechtenstein Binary -0.0066 0.0000
## country_Lithuania Binary -0.0237 0.0000
## country_Luxembourg Binary -0.0325 -0.0796
## country_Macau Binary -0.0066 0.0000
## country_Macedonia Binary -0.0046 0.0000
## country_Madagascar Binary -0.0114 0.0000
## country_Malawi Binary -0.0046 0.0000
## country_Malaysia Binary -0.0363 0.0000
## country_Maldives Binary -0.0066 0.0000
## country_Mali Binary -0.0066 0.0000
## country_Malta Binary -0.0139 0.0000
## country_Marshall Islands Binary -0.0046 0.0000
## country_Mauritania Binary -0.0046 0.0000
## country_Mauritius Binary -0.0114 0.0000
## country_Mexico Binary -0.1505 0.1667
## country_Moldova Binary -0.0080 0.0000
## country_Monaco Binary -0.0066 0.0000
## country_Montenegro Binary -0.0046 0.0000
## country_Morocco Binary -0.0286 0.0000
## country_Mozambique Binary -0.0046 0.0000
## country_Namibia Binary -0.0114 0.0000
## country_Netherlands Binary 0.0227 -0.2154
## country_New Zealand Binary 0.0474 0.0293
## country_Nicaragua Binary 0.0367 -0.3549
## country_Nigeria Binary -0.0218 0.0000
## country_Norway Binary -0.0325 0.0000
## country_Oman Binary -0.0066 0.0000
## country_Pakistan Binary 0.0452 0.0507
## country_Palestinian Territories Binary -0.0046 0.0000
## country_Panama Binary -0.0394 0.0000
## country_Paraguay Binary -0.0286 0.0000
## country_Peru Binary -0.0949 0.0000
## country_Philippines Binary 0.0451 0.0000
## country_Poland Binary -0.0254 0.0000
## country_Portugal Binary -0.0727 0.0000
## country_Qatar Binary -0.0131 0.0000
## country_Romania Binary -0.0380 0.0000
## country_Russia Binary 0.0406 0.0386
## country_Rwanda Binary -0.0046 0.0000
## country_Saint Lucia Binary -0.0093 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0046 0.0000
## country_San Marino Binary -0.0046 0.0000
## country_Saudi Arabia Binary -0.0147 0.0000
## country_Senegal Binary -0.0167 0.0000
## country_Serbia Binary -0.0192 0.0000
## country_Singapore Binary 0.0177 0.0507
## country_Sint Maarten Binary -0.0066 0.0000
## country_Slovakia Binary -0.0167 0.0000
## country_Slovenia Binary -0.0186 0.0000
## country_Solomon Islands Binary -0.0046 0.0000
## country_South Africa Binary -0.0009 0.0507
## country_South Korea Binary -0.0174 0.0000
## country_South Sudan Binary -0.0046 0.0000
## country_Spain Binary -0.1151 -0.2109
## country_Sri Lanka Binary -0.0104 0.0000
## country_Swaziland Binary -0.0046 0.0000
## country_Sweden Binary 0.0012 0.0507
## country_Switzerland Binary -0.0000 -0.4161
## country_Syria Binary -0.0046 0.0000
## country_Taiwan Binary -0.0186 0.0000
## country_Tanzania Binary -0.0066 0.0000
## country_Thailand Binary -0.0186 0.0000
## country_Trinidad and Tobago Binary -0.0186 0.0000
## country_Tunisia Binary -0.0180 0.0000
## country_Turkey Binary -0.0254 0.0000
## country_Turkmenistan Binary -0.0104 0.0000
## country_Tuvalu Binary -0.0046 0.0000
## country_Uganda Binary -0.0093 0.0000
## country_Ukraine Binary 0.0177 0.0000
## country_United Arab Emirates Binary -0.0271 0.0000
## country_United Kingdom Binary 0.0643 0.1334
## country_United States of America Binary 0.4080 0.2939
## country_Uruguay Binary 0.0076 0.0507
## country_Uzbekistan Binary -0.0046 0.0000
## country_Venezuela Binary -0.0694 0.0000
## country_Vietnam Binary -0.0154 0.0000
## country_Zimbabwe Binary -0.0093 0.0000
## relationship_status_Long-term Binary -0.8568 0.0881
## relationship_status_No relationship Binary 0.9892 -0.0942
## relationship_status_Short-term Binary -0.3698 0.0227
## relationship_length Contin. -0.3515 -0.0224
## M.Threshold
## distance Balanced, <0.1
## language_chinese Balanced, <0.1
## language_danish Not Balanced, >0.1
## language_english Not Balanced, >0.1
## language_french Not Balanced, >0.1
## language_german Not Balanced, >0.1
## language_italian Not Balanced, >0.1
## language_japanese Not Balanced, >0.1
## language_portuguese Not Balanced, >0.1
## language_russian Not Balanced, >0.1
## language_spanish Not Balanced, >0.1
## age Not Balanced, >0.1
## country_Afghanistan Balanced, <0.1
## country_Albania Balanced, <0.1
## country_Algeria Balanced, <0.1
## country_Andorra Balanced, <0.1
## country_Angola Balanced, <0.1
## country_Antigua and Barbuda Balanced, <0.1
## country_Argentina Not Balanced, >0.1
## country_Armenia Balanced, <0.1
## country_Aruba Balanced, <0.1
## country_Australia Not Balanced, >0.1
## country_Austria Not Balanced, >0.1
## country_Azerbaijan Balanced, <0.1
## country_Bahamas, The Balanced, <0.1
## country_Bahrain Balanced, <0.1
## country_Bangladesh Balanced, <0.1
## country_Barbados Balanced, <0.1
## country_Belarus Balanced, <0.1
## country_Belgium Balanced, <0.1
## country_Belize Balanced, <0.1
## country_Benin Balanced, <0.1
## country_Bhutan Balanced, <0.1
## country_Bolivia Balanced, <0.1
## country_Bosnia and Herzegovina Balanced, <0.1
## country_Botswana Balanced, <0.1
## country_Brazil Not Balanced, >0.1
## country_Brunei Balanced, <0.1
## country_Bulgaria Balanced, <0.1
## country_Burkina Faso Balanced, <0.1
## country_Burma Balanced, <0.1
## country_Cabo Verde Balanced, <0.1
## country_Cambodia Balanced, <0.1
## country_Cameroon Balanced, <0.1
## country_Canada Not Balanced, >0.1
## country_Central African Republic Balanced, <0.1
## country_Chile Balanced, <0.1
## country_China Balanced, <0.1
## country_Colombia Not Balanced, >0.1
## country_Costa Rica Balanced, <0.1
## country_Cote d'Ivoire Balanced, <0.1
## country_Croatia Balanced, <0.1
## country_Cuba Balanced, <0.1
## country_Curacao Balanced, <0.1
## country_Cyprus Balanced, <0.1
## country_Czechia Balanced, <0.1
## country_Denmark Balanced, <0.1
## country_Djibouti Balanced, <0.1
## country_Dominica Balanced, <0.1
## country_Dominican Republic Balanced, <0.1
## country_East Timor (see Timor-Leste) Balanced, <0.1
## country_Ecuador Balanced, <0.1
## country_Egypt Balanced, <0.1
## country_El Salvador Balanced, <0.1
## country_Equatorial Guinea Balanced, <0.1
## country_Estonia Balanced, <0.1
## country_Ethiopia Balanced, <0.1
## country_Fiji Balanced, <0.1
## country_Finland Balanced, <0.1
## country_France Not Balanced, >0.1
## country_Gabon Balanced, <0.1
## country_Gambia, The Balanced, <0.1
## country_Georgia Balanced, <0.1
## country_Germany Not Balanced, >0.1
## country_Ghana Balanced, <0.1
## country_Greece Balanced, <0.1
## country_Grenada Balanced, <0.1
## country_Guatemala Balanced, <0.1
## country_Guinea Balanced, <0.1
## country_Guyana Balanced, <0.1
## country_Haiti Balanced, <0.1
## country_Holy See Balanced, <0.1
## country_Honduras Balanced, <0.1
## country_Hong Kong Balanced, <0.1
## country_Hungary Balanced, <0.1
## country_Iceland Balanced, <0.1
## country_India Balanced, <0.1
## country_Indonesia Balanced, <0.1
## country_Iran Balanced, <0.1
## country_Iraq Balanced, <0.1
## country_Ireland Balanced, <0.1
## country_Israel Not Balanced, >0.1
## country_Italy Balanced, <0.1
## country_Jamaica Balanced, <0.1
## country_Japan Not Balanced, >0.1
## country_Jordan Balanced, <0.1
## country_Kazakhstan Balanced, <0.1
## country_Kenya Balanced, <0.1
## country_Kosovo Balanced, <0.1
## country_Kuwait Balanced, <0.1
## country_Kyrgyzstan Balanced, <0.1
## country_Latvia Balanced, <0.1
## country_Lebanon Balanced, <0.1
## country_Liberia Balanced, <0.1
## country_Libya Balanced, <0.1
## country_Liechtenstein Balanced, <0.1
## country_Lithuania Balanced, <0.1
## country_Luxembourg Balanced, <0.1
## country_Macau Balanced, <0.1
## country_Macedonia Balanced, <0.1
## country_Madagascar Balanced, <0.1
## country_Malawi Balanced, <0.1
## country_Malaysia Balanced, <0.1
## country_Maldives Balanced, <0.1
## country_Mali Balanced, <0.1
## country_Malta Balanced, <0.1
## country_Marshall Islands Balanced, <0.1
## country_Mauritania Balanced, <0.1
## country_Mauritius Balanced, <0.1
## country_Mexico Not Balanced, >0.1
## country_Moldova Balanced, <0.1
## country_Monaco Balanced, <0.1
## country_Montenegro Balanced, <0.1
## country_Morocco Balanced, <0.1
## country_Mozambique Balanced, <0.1
## country_Namibia Balanced, <0.1
## country_Netherlands Not Balanced, >0.1
## country_New Zealand Balanced, <0.1
## country_Nicaragua Not Balanced, >0.1
## country_Nigeria Balanced, <0.1
## country_Norway Balanced, <0.1
## country_Oman Balanced, <0.1
## country_Pakistan Balanced, <0.1
## country_Palestinian Territories Balanced, <0.1
## country_Panama Balanced, <0.1
## country_Paraguay Balanced, <0.1
## country_Peru Balanced, <0.1
## country_Philippines Balanced, <0.1
## country_Poland Balanced, <0.1
## country_Portugal Balanced, <0.1
## country_Qatar Balanced, <0.1
## country_Romania Balanced, <0.1
## country_Russia Balanced, <0.1
## country_Rwanda Balanced, <0.1
## country_Saint Lucia Balanced, <0.1
## country_Saint Vincent and the Grenadines Balanced, <0.1
## country_San Marino Balanced, <0.1
## country_Saudi Arabia Balanced, <0.1
## country_Senegal Balanced, <0.1
## country_Serbia Balanced, <0.1
## country_Singapore Balanced, <0.1
## country_Sint Maarten Balanced, <0.1
## country_Slovakia Balanced, <0.1
## country_Slovenia Balanced, <0.1
## country_Solomon Islands Balanced, <0.1
## country_South Africa Balanced, <0.1
## country_South Korea Balanced, <0.1
## country_South Sudan Balanced, <0.1
## country_Spain Not Balanced, >0.1
## country_Sri Lanka Balanced, <0.1
## country_Swaziland Balanced, <0.1
## country_Sweden Balanced, <0.1
## country_Switzerland Not Balanced, >0.1
## country_Syria Balanced, <0.1
## country_Taiwan Balanced, <0.1
## country_Tanzania Balanced, <0.1
## country_Thailand Balanced, <0.1
## country_Trinidad and Tobago Balanced, <0.1
## country_Tunisia Balanced, <0.1
## country_Turkey Balanced, <0.1
## country_Turkmenistan Balanced, <0.1
## country_Tuvalu Balanced, <0.1
## country_Uganda Balanced, <0.1
## country_Ukraine Balanced, <0.1
## country_United Arab Emirates Balanced, <0.1
## country_United Kingdom Not Balanced, >0.1
## country_United States of America Not Balanced, >0.1
## country_Uruguay Balanced, <0.1
## country_Uzbekistan Balanced, <0.1
## country_Venezuela Balanced, <0.1
## country_Vietnam Balanced, <0.1
## country_Zimbabwe Balanced, <0.1
## relationship_status_Long-term Balanced, <0.1
## relationship_status_No relationship Balanced, <0.1
## relationship_status_Short-term Balanced, <0.1
## relationship_length Balanced, <0.1
##
## Balance tally for mean differences
## count
## Balanced, <0.1 159
## Not Balanced, >0.1 27
##
## Variable with the greatest mean difference
## Variable Diff.Adj M.Threshold
## language_german -1.0092 Not Balanced, >0.1
##
## Sample sizes
## Control Treated
## All 46746 390
## Matched 390 390
## Unmatched 46356 0bal.tab(om, v.threshold = 2, un = T) #vr (can only be calculated for continuous variables)## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "optimal")
##
## Balance Measures
## Type Diff.Un V.Ratio.Un Diff.Adj
## distance Distance 0.7498 4.8204 0.0008
## language_chinese Binary -0.0767 . 0.0000
## language_danish Binary -0.1062 . 0.1250
## language_english Binary 0.5402 . 0.3897
## language_french Binary -0.5356 . 0.2512
## language_german Binary 0.0406 . -1.0092
## language_italian Binary -0.1272 . 0.2000
## language_japanese Binary 0.0392 . 0.1782
## language_portuguese Binary -0.1115 . 0.2263
## language_russian Binary 0.0116 . 0.1159
## language_spanish Binary -0.2782 . -0.1207
## age Contin. -0.1964 0.7691 -0.3467
## country_Afghanistan Binary -0.0080 . 0.0000
## country_Albania Binary -0.0093 . 0.0000
## country_Algeria Binary 0.0444 . 0.0000
## country_Andorra Binary -0.0192 . 0.0000
## country_Angola Binary -0.0066 . 0.0000
## country_Antigua and Barbuda Binary -0.0093 . 0.0000
## country_Argentina Binary 0.0391 . 0.1195
## country_Armenia Binary -0.0093 . 0.0000
## country_Aruba Binary -0.0066 . 0.0000
## country_Australia Binary 0.1256 . -0.1571
## country_Austria Binary 0.0014 . -0.3419
## country_Azerbaijan Binary -0.0046 . 0.0000
## country_Bahamas, The Binary -0.0104 . 0.0000
## country_Bahrain Binary -0.0080 . 0.0000
## country_Bangladesh Binary -0.0046 . 0.0000
## country_Barbados Binary -0.0093 . 0.0000
## country_Belarus Binary -0.0312 . 0.0000
## country_Belgium Binary -0.0964 . 0.0000
## country_Belize Binary -0.0080 . 0.0000
## country_Benin Binary -0.0080 . 0.0000
## country_Bhutan Binary -0.0046 . 0.0000
## country_Bolivia Binary -0.0360 . 0.0000
## country_Bosnia and Herzegovina Binary -0.0161 . 0.0000
## country_Botswana Binary -0.0046 . 0.0000
## country_Brazil Binary -0.0778 . 0.1976
## country_Brunei Binary -0.0046 . 0.0000
## country_Bulgaria Binary -0.0254 . 0.0000
## country_Burkina Faso Binary -0.0080 . 0.0000
## country_Burma Binary -0.0066 . 0.0000
## country_Cabo Verde Binary -0.0046 . 0.0000
## country_Cambodia Binary -0.0046 . 0.0000
## country_Cameroon Binary -0.0147 . 0.0000
## country_Canada Binary 0.1002 . 0.1046
## country_Central African Republic Binary -0.0066 . 0.0000
## country_Chile Binary 0.0137 . 0.0684
## country_China Binary -0.0748 . 0.0000
## country_Colombia Binary -0.1173 . -0.4331
## country_Costa Rica Binary -0.0204 . -0.0507
## country_Cote d'Ivoire Binary -0.0131 . 0.0000
## country_Croatia Binary -0.0208 . 0.0000
## country_Cuba Binary -0.0114 . 0.0000
## country_Curacao Binary -0.0046 . 0.0000
## country_Cyprus Binary -0.0080 . 0.0000
## country_Czechia Binary 0.0792 . -0.0293
## country_Denmark Binary -0.1124 . 0.0625
## country_Djibouti Binary -0.0046 . 0.0000
## country_Dominica Binary -0.0080 . 0.0000
## country_Dominican Republic Binary 0.0059 . 0.0507
## country_East Timor (see Timor-Leste) Binary -0.0046 . 0.0000
## country_Ecuador Binary -0.0789 . 0.0000
## country_Egypt Binary -0.0114 . 0.0000
## country_El Salvador Binary -0.0446 . 0.0000
## country_Equatorial Guinea Binary -0.0046 . 0.0000
## country_Estonia Binary -0.0250 . 0.0000
## country_Ethiopia Binary -0.0046 . 0.0000
## country_Fiji Binary -0.0093 . 0.0000
## country_Finland Binary 0.0490 . 0.0000
## country_France Binary -0.5874 . 0.2009
## country_Gabon Binary -0.0093 . 0.0000
## country_Gambia, The Binary -0.0046 . 0.0000
## country_Georgia Binary -0.0131 . 0.0000
## country_Germany Binary 0.0252 . -0.4755
## country_Ghana Binary -0.0104 . 0.0000
## country_Greece Binary -0.0232 . 0.0000
## country_Grenada Binary -0.0114 . 0.0000
## country_Guatemala Binary 0.0251 . 0.0718
## country_Guinea Binary -0.0046 . 0.0000
## country_Guyana Binary -0.0154 . 0.0000
## country_Haiti Binary -0.0123 . 0.0000
## country_Holy See Binary -0.0066 . 0.0000
## country_Honduras Binary -0.0308 . 0.0000
## country_Hong Kong Binary -0.0271 . 0.0000
## country_Hungary Binary -0.0279 . 0.0000
## country_Iceland Binary -0.0197 . 0.0000
## country_India Binary -0.0479 . 0.0000
## country_Indonesia Binary -0.0308 . 0.0000
## country_Iran Binary 0.0418 . 0.0507
## country_Iraq Binary -0.0080 . 0.0000
## country_Ireland Binary -0.0237 . -0.0507
## country_Israel Binary 0.0312 . -0.2028
## country_Italy Binary -0.1030 . 0.0776
## country_Jamaica Binary -0.0186 . 0.0000
## country_Japan Binary 0.0622 . 0.1654
## country_Jordan Binary -0.0080 . 0.0000
## country_Kazakhstan Binary -0.0208 . 0.0000
## country_Kenya Binary 0.0431 . 0.0000
## country_Kosovo Binary -0.0046 . 0.0000
## country_Kuwait Binary -0.0066 . 0.0000
## country_Kyrgyzstan Binary -0.0080 . 0.0000
## country_Latvia Binary -0.0213 . 0.0000
## country_Lebanon Binary -0.0139 . 0.0000
## country_Liberia Binary -0.0046 . 0.0000
## country_Libya Binary -0.0066 . 0.0000
## country_Liechtenstein Binary -0.0066 . 0.0000
## country_Lithuania Binary -0.0237 . 0.0000
## country_Luxembourg Binary -0.0325 . -0.0796
## country_Macau Binary -0.0066 . 0.0000
## country_Macedonia Binary -0.0046 . 0.0000
## country_Madagascar Binary -0.0114 . 0.0000
## country_Malawi Binary -0.0046 . 0.0000
## country_Malaysia Binary -0.0363 . 0.0000
## country_Maldives Binary -0.0066 . 0.0000
## country_Mali Binary -0.0066 . 0.0000
## country_Malta Binary -0.0139 . 0.0000
## country_Marshall Islands Binary -0.0046 . 0.0000
## country_Mauritania Binary -0.0046 . 0.0000
## country_Mauritius Binary -0.0114 . 0.0000
## country_Mexico Binary -0.1505 . 0.1667
## country_Moldova Binary -0.0080 . 0.0000
## country_Monaco Binary -0.0066 . 0.0000
## country_Montenegro Binary -0.0046 . 0.0000
## country_Morocco Binary -0.0286 . 0.0000
## country_Mozambique Binary -0.0046 . 0.0000
## country_Namibia Binary -0.0114 . 0.0000
## country_Netherlands Binary 0.0227 . -0.2154
## country_New Zealand Binary 0.0474 . 0.0293
## country_Nicaragua Binary 0.0367 . -0.3549
## country_Nigeria Binary -0.0218 . 0.0000
## country_Norway Binary -0.0325 . 0.0000
## country_Oman Binary -0.0066 . 0.0000
## country_Pakistan Binary 0.0452 . 0.0507
## country_Palestinian Territories Binary -0.0046 . 0.0000
## country_Panama Binary -0.0394 . 0.0000
## country_Paraguay Binary -0.0286 . 0.0000
## country_Peru Binary -0.0949 . 0.0000
## country_Philippines Binary 0.0451 . 0.0000
## country_Poland Binary -0.0254 . 0.0000
## country_Portugal Binary -0.0727 . 0.0000
## country_Qatar Binary -0.0131 . 0.0000
## country_Romania Binary -0.0380 . 0.0000
## country_Russia Binary 0.0406 . 0.0386
## country_Rwanda Binary -0.0046 . 0.0000
## country_Saint Lucia Binary -0.0093 . 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0046 . 0.0000
## country_San Marino Binary -0.0046 . 0.0000
## country_Saudi Arabia Binary -0.0147 . 0.0000
## country_Senegal Binary -0.0167 . 0.0000
## country_Serbia Binary -0.0192 . 0.0000
## country_Singapore Binary 0.0177 . 0.0507
## country_Sint Maarten Binary -0.0066 . 0.0000
## country_Slovakia Binary -0.0167 . 0.0000
## country_Slovenia Binary -0.0186 . 0.0000
## country_Solomon Islands Binary -0.0046 . 0.0000
## country_South Africa Binary -0.0009 . 0.0507
## country_South Korea Binary -0.0174 . 0.0000
## country_South Sudan Binary -0.0046 . 0.0000
## country_Spain Binary -0.1151 . -0.2109
## country_Sri Lanka Binary -0.0104 . 0.0000
## country_Swaziland Binary -0.0046 . 0.0000
## country_Sweden Binary 0.0012 . 0.0507
## country_Switzerland Binary -0.0000 . -0.4161
## country_Syria Binary -0.0046 . 0.0000
## country_Taiwan Binary -0.0186 . 0.0000
## country_Tanzania Binary -0.0066 . 0.0000
## country_Thailand Binary -0.0186 . 0.0000
## country_Trinidad and Tobago Binary -0.0186 . 0.0000
## country_Tunisia Binary -0.0180 . 0.0000
## country_Turkey Binary -0.0254 . 0.0000
## country_Turkmenistan Binary -0.0104 . 0.0000
## country_Tuvalu Binary -0.0046 . 0.0000
## country_Uganda Binary -0.0093 . 0.0000
## country_Ukraine Binary 0.0177 . 0.0000
## country_United Arab Emirates Binary -0.0271 . 0.0000
## country_United Kingdom Binary 0.0643 . 0.1334
## country_United States of America Binary 0.4080 . 0.2939
## country_Uruguay Binary 0.0076 . 0.0507
## country_Uzbekistan Binary -0.0046 . 0.0000
## country_Venezuela Binary -0.0694 . 0.0000
## country_Vietnam Binary -0.0154 . 0.0000
## country_Zimbabwe Binary -0.0093 . 0.0000
## relationship_status_Long-term Binary -0.8568 . 0.0881
## relationship_status_No relationship Binary 0.9892 . -0.0942
## relationship_status_Short-term Binary -0.3698 . 0.0227
## relationship_length Contin. -0.3515 0.5841 -0.0224
## V.Ratio.Adj V.Threshold
## distance 1.0084 Balanced, <2
## language_chinese .
## language_danish .
## language_english .
## language_french .
## language_german .
## language_italian .
## language_japanese .
## language_portuguese .
## language_russian .
## language_spanish .
## age 0.5395 Balanced, <2
## country_Afghanistan .
## country_Albania .
## country_Algeria .
## country_Andorra .
## country_Angola .
## country_Antigua and Barbuda .
## country_Argentina .
## country_Armenia .
## country_Aruba .
## country_Australia .
## country_Austria .
## country_Azerbaijan .
## country_Bahamas, The .
## country_Bahrain .
## country_Bangladesh .
## country_Barbados .
## country_Belarus .
## country_Belgium .
## country_Belize .
## country_Benin .
## country_Bhutan .
## country_Bolivia .
## country_Bosnia and Herzegovina .
## country_Botswana .
## country_Brazil .
## country_Brunei .
## country_Bulgaria .
## country_Burkina Faso .
## country_Burma .
## country_Cabo Verde .
## country_Cambodia .
## country_Cameroon .
## country_Canada .
## country_Central African Republic .
## country_Chile .
## country_China .
## country_Colombia .
## country_Costa Rica .
## country_Cote d'Ivoire .
## country_Croatia .
## country_Cuba .
## country_Curacao .
## country_Cyprus .
## country_Czechia .
## country_Denmark .
## country_Djibouti .
## country_Dominica .
## country_Dominican Republic .
## country_East Timor (see Timor-Leste) .
## country_Ecuador .
## country_Egypt .
## country_El Salvador .
## country_Equatorial Guinea .
## country_Estonia .
## country_Ethiopia .
## country_Fiji .
## country_Finland .
## country_France .
## country_Gabon .
## country_Gambia, The .
## country_Georgia .
## country_Germany .
## country_Ghana .
## country_Greece .
## country_Grenada .
## country_Guatemala .
## country_Guinea .
## country_Guyana .
## country_Haiti .
## country_Holy See .
## country_Honduras .
## country_Hong Kong .
## country_Hungary .
## country_Iceland .
## country_India .
## country_Indonesia .
## country_Iran .
## country_Iraq .
## country_Ireland .
## country_Israel .
## country_Italy .
## country_Jamaica .
## country_Japan .
## country_Jordan .
## country_Kazakhstan .
## country_Kenya .
## country_Kosovo .
## country_Kuwait .
## country_Kyrgyzstan .
## country_Latvia .
## country_Lebanon .
## country_Liberia .
## country_Libya .
## country_Liechtenstein .
## country_Lithuania .
## country_Luxembourg .
## country_Macau .
## country_Macedonia .
## country_Madagascar .
## country_Malawi .
## country_Malaysia .
## country_Maldives .
## country_Mali .
## country_Malta .
## country_Marshall Islands .
## country_Mauritania .
## country_Mauritius .
## country_Mexico .
## country_Moldova .
## country_Monaco .
## country_Montenegro .
## country_Morocco .
## country_Mozambique .
## country_Namibia .
## country_Netherlands .
## country_New Zealand .
## country_Nicaragua .
## country_Nigeria .
## country_Norway .
## country_Oman .
## country_Pakistan .
## country_Palestinian Territories .
## country_Panama .
## country_Paraguay .
## country_Peru .
## country_Philippines .
## country_Poland .
## country_Portugal .
## country_Qatar .
## country_Romania .
## country_Russia .
## country_Rwanda .
## country_Saint Lucia .
## country_Saint Vincent and the Grenadines .
## country_San Marino .
## country_Saudi Arabia .
## country_Senegal .
## country_Serbia .
## country_Singapore .
## country_Sint Maarten .
## country_Slovakia .
## country_Slovenia .
## country_Solomon Islands .
## country_South Africa .
## country_South Korea .
## country_South Sudan .
## country_Spain .
## country_Sri Lanka .
## country_Swaziland .
## country_Sweden .
## country_Switzerland .
## country_Syria .
## country_Taiwan .
## country_Tanzania .
## country_Thailand .
## country_Trinidad and Tobago .
## country_Tunisia .
## country_Turkey .
## country_Turkmenistan .
## country_Tuvalu .
## country_Uganda .
## country_Ukraine .
## country_United Arab Emirates .
## country_United Kingdom .
## country_United States of America .
## country_Uruguay .
## country_Uzbekistan .
## country_Venezuela .
## country_Vietnam .
## country_Zimbabwe .
## relationship_status_Long-term .
## relationship_status_No relationship .
## relationship_status_Short-term .
## relationship_length 0.6641 Balanced, <2
##
## Balance tally for variance ratios
## count
## Balanced, <2 3
## Not Balanced, >2 0
##
## Variable with the greatest variance ratio
## Variable V.Ratio.Adj V.Threshold
## age 0.5395 Balanced, <2
##
## Sample sizes
## Control Treated
## All 46746 390
## Matched 390 390
## Unmatched 46356 0Based on SMDs, data is not balanced for 27 covariates. For continuous variables all variance ratios are close to 1.
Visualize
# Q-Q plot
plot(om, type = "qq", interactive = FALSE, which.xs = c("age", "relationship_length"))
# looks worse than before matching
# Jitter plot
plot(om, type = "jitter", interactive = FALSE)
# with cobalt package:
# distributional density/histogram
bal.plot(om, var.name = "age", which = "both", grid = T)
bal.plot(om, var.name = "relationship_length", which = "both", grid = T)
bal.plot(om, var.name = "relationship_status", which = "both", grid = T)
bal.plot(om, var.name = "language", which = "both", grid = T) # looks worse than before matching, some countries are not represented for heterosexual individuals anymore 
bal.plot(om, var.name = "country", which = "both", grid = T) # recht unübersichtlich
bal.plot(om, var.name = "distance", which = "both",
type = "histogram", mirror = TRUE) # for propensity score
love.plot(bal.tab(om, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
# not readable due to country variable
# remove country variable for love plot
om_without_country = om
om_without_country$X[c("country")] <- NULL
love.plot(bal.tab(om_without_country, m.threshold = 0.1, binardy = "std"),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
# In cobalt, you can use the formula method as follows:
#
# cobalt::love.plot(y ~ x1 + x2, data = D, weights = get.w(m.out))
# Because you control which covariates are used, you don't have to display the covariates you don't want.
#
# In MatchIt, one hacky way to do this would be to manually remove those variables from the matchit object. That is, you could run
#
# m.out$X[c("location")] <- NULL
# before running summary() and the location variable will be removed from the output.
## love plot using alternate variable names
# Using alternate variable names
v <- data.frame(old = c("distance", "language_chinese", "language_japanese", "language_german","language_english", "language_italian", "language_danish", "language_spanish", "language_russian", "language_portuguese", "language_french", "age", "relationship_status_Long-term", "relationship_status_No relationship", "relationship_status_Short-term",
"relationship_length"),
new = c("Propensity scores", "Chinese", "Japanese", "German", "English", "Italian", "Danish", "Spanish", "Russian", "Portuguese", "French", "Long-term relationship", "No relationship", "Dating/Sexual Relationship","Age", "Relationship length"))
love.plot(bal.tab(om_without_country, m.threshold = 0.1, binardy = "std"),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F,
sample.names = c("Unmatched", "Optimal Matching"),
var.names = v) 
Optimal matching results in 27 covariates not being balanced after
matching (based on SMDs).
Matching with nearest-neighbor-algorithm without caliper
nnm <- matchit(sexual_orientation ~ language + age + country + relationship_status + relationship_length, method = "nearest", data = data_main_nomiss)
nnm_data <- match.data(nnm)
nrow(nnm_data) # 780 observations## [1] 780table(nnm_data$subclass) # data includes only pairs of two observations##
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 381 382 383 384 385 386 387 388 389 390
## 2 2 2 2 2 2 2 2 2 2dim(nnm_data) # 780 observations and 17 variables## [1] 780 17No asexual unmatched.
Check balance
summary_nnm = summary(nnm, standardize = T)
print(summary_nnm)##
## Call:
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "nearest")
##
## Summary of Balance for All Data:
## Means Treated Means Control
## distance 0.0302 0.0081
## languagechinese 0.0000 0.0058
## languagedanish 0.0154 0.0285
## languageenglish 0.4974 0.2273
## languagefrench 0.0641 0.1953
## languagegerman 0.1538 0.1392
## languageitalian 0.0385 0.0629
## languagejapanese 0.0308 0.0240
## languageportuguese 0.0487 0.0727
## languagerussian 0.0179 0.0164
## languagespanish 0.1333 0.2279
## age 23.9410 25.1973
## countryAfghanistan 0.0000 0.0001
## countryAlbania 0.0000 0.0001
## countryAlgeria 0.0026 0.0003
## countryAndorra 0.0000 0.0004
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0001
## countryArgentina 0.0231 0.0172
## countryArmenia 0.0000 0.0001
## countryAruba 0.0000 0.0000
## countryAustralia 0.0333 0.0108
## countryAustria 0.0128 0.0127
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0001
## countryBahrain 0.0000 0.0001
## countryBangladesh 0.0000 0.0000
## countryBarbados 0.0000 0.0001
## countryBelarus 0.0000 0.0010
## countryBelgium 0.0000 0.0091
## countryBelize 0.0000 0.0001
## countryBenin 0.0000 0.0001
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0013
## countryBosnia and Herzegovina 0.0000 0.0003
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0513 0.0684
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0006
## countryBurkina Faso 0.0000 0.0001
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0002
## countryCanada 0.0513 0.0292
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0128 0.0113
## countryChina 0.0000 0.0055
## countryColombia 0.0128 0.0260
## countryCosta Rica 0.0026 0.0036
## countryCote d'Ivoire 0.0000 0.0002
## countryCroatia 0.0000 0.0004
## countryCuba 0.0000 0.0001
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0001
## countryCzechia 0.0077 0.0008
## countryDenmark 0.0154 0.0292
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0001
## countryDominican Republic 0.0026 0.0023
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0061
## countryEgypt 0.0000 0.0001
## countryEl Salvador 0.0000 0.0020
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0006
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0001
## countryFinland 0.0051 0.0016
## countryFrance 0.0436 0.1635
## countryGabon 0.0000 0.0001
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0002
## countryGermany 0.1282 0.1198
## countryGhana 0.0000 0.0001
## countryGreece 0.0000 0.0005
## countryGrenada 0.0000 0.0001
## countryGuatemala 0.0051 0.0033
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0002
## countryHaiti 0.0000 0.0001
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0009
## countryHong Kong 0.0000 0.0007
## countryHungary 0.0000 0.0008
## countryIceland 0.0000 0.0004
## countryIndia 0.0000 0.0023
## countryIndonesia 0.0000 0.0009
## countryIran 0.0026 0.0004
## countryIraq 0.0000 0.0001
## countryIreland 0.0026 0.0038
## countryIsrael 0.0026 0.0010
## countryItaly 0.0410 0.0615
## countryJamaica 0.0000 0.0003
## countryJapan 0.0359 0.0243
## countryJordan 0.0000 0.0001
## countryKazakhstan 0.0000 0.0004
## countryKenya 0.0026 0.0004
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0001
## countryLatvia 0.0000 0.0004
## countryLebanon 0.0000 0.0002
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0006
## countryLuxembourg 0.0000 0.0010
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0001
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0013
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0002
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0001
## countryMexico 0.0564 0.0911
## countryMoldova 0.0000 0.0001
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0008
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0001
## countryNetherlands 0.0051 0.0035
## countryNew Zealand 0.0077 0.0036
## countryNicaragua 0.0026 0.0007
## countryNigeria 0.0000 0.0005
## countryNorway 0.0000 0.0010
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0003
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0000 0.0015
## countryParaguay 0.0000 0.0008
## countryPeru 0.0000 0.0089
## countryPhilippines 0.0051 0.0019
## countryPoland 0.0000 0.0006
## countryPortugal 0.0000 0.0052
## countryQatar 0.0000 0.0002
## countryRomania 0.0000 0.0014
## countryRussia 0.0179 0.0126
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0001
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0002
## countrySenegal 0.0000 0.0003
## countrySerbia 0.0000 0.0004
## countrySingapore 0.0026 0.0017
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0003
## countrySlovenia 0.0000 0.0003
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0026 0.0026
## countrySouth Korea 0.0000 0.0003
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0256 0.0438
## countrySri Lanka 0.0000 0.0001
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0025
## countrySwitzerland 0.0205 0.0205
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0003
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0003
## countryTrinidad and Tobago 0.0000 0.0003
## countryTunisia 0.0000 0.0003
## countryTurkey 0.0000 0.0006
## countryTurkmenistan 0.0000 0.0001
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0001
## countryUkraine 0.0026 0.0017
## countryUnited Arab Emirates 0.0000 0.0007
## countryUnited Kingdom 0.0564 0.0416
## countryUnited States of America 0.2897 0.1047
## countryUruguay 0.0026 0.0022
## countryUzbekistan 0.0000 0.0000
## countryVenezuela 0.0000 0.0047
## countryVietnam 0.0000 0.0002
## countryZimbabwe 0.0000 0.0001
## relationship_statusLong-term 0.2564 0.6305
## relationship_statusNo relationship 0.6897 0.2321
## relationship_statusShort-term 0.0538 0.1373
## relationship_length 1.1564 2.3230
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance 0.7498 4.8204 0.3136
## languagechinese -0.0767 . 0.0058
## languagedanish -0.1062 . 0.0131
## languageenglish 0.5402 . 0.2701
## languagefrench -0.5356 . 0.1312
## languagegerman 0.0406 . 0.0146
## languageitalian -0.1272 . 0.0245
## languagejapanese 0.0392 . 0.0068
## languageportuguese -0.1115 . 0.0240
## languagerussian 0.0116 . 0.0015
## languagespanish -0.2782 . 0.0946
## age -0.1964 0.7691 0.0262
## countryAfghanistan -0.0080 . 0.0001
## countryAlbania -0.0093 . 0.0001
## countryAlgeria 0.0444 . 0.0022
## countryAndorra -0.0192 . 0.0004
## countryAngola -0.0066 . 0.0000
## countryAntigua and Barbuda -0.0093 . 0.0001
## countryArgentina 0.0391 . 0.0059
## countryArmenia -0.0093 . 0.0001
## countryAruba -0.0066 . 0.0000
## countryAustralia 0.1256 . 0.0226
## countryAustria 0.0014 . 0.0002
## countryAzerbaijan -0.0046 . 0.0000
## countryBahamas, The -0.0104 . 0.0001
## countryBahrain -0.0080 . 0.0001
## countryBangladesh -0.0046 . 0.0000
## countryBarbados -0.0093 . 0.0001
## countryBelarus -0.0312 . 0.0010
## countryBelgium -0.0964 . 0.0091
## countryBelize -0.0080 . 0.0001
## countryBenin -0.0080 . 0.0001
## countryBhutan -0.0046 . 0.0000
## countryBolivia -0.0360 . 0.0013
## countryBosnia and Herzegovina -0.0161 . 0.0003
## countryBotswana -0.0046 . 0.0000
## countryBrazil -0.0778 . 0.0172
## countryBrunei -0.0046 . 0.0000
## countryBulgaria -0.0254 . 0.0006
## countryBurkina Faso -0.0080 . 0.0001
## countryBurma -0.0066 . 0.0000
## countryCabo Verde -0.0046 . 0.0000
## countryCambodia -0.0046 . 0.0000
## countryCameroon -0.0147 . 0.0002
## countryCanada 0.1002 . 0.0221
## countryCentral African Republic -0.0066 . 0.0000
## countryChile 0.0137 . 0.0015
## countryChina -0.0748 . 0.0055
## countryColombia -0.1173 . 0.0132
## countryCosta Rica -0.0204 . 0.0010
## countryCote d'Ivoire -0.0131 . 0.0002
## countryCroatia -0.0208 . 0.0004
## countryCuba -0.0114 . 0.0001
## countryCuracao -0.0046 . 0.0000
## countryCyprus -0.0080 . 0.0001
## countryCzechia 0.0792 . 0.0069
## countryDenmark -0.1124 . 0.0138
## countryDjibouti -0.0046 . 0.0000
## countryDominica -0.0080 . 0.0001
## countryDominican Republic 0.0059 . 0.0003
## countryEast Timor (see Timor-Leste) -0.0046 . 0.0000
## countryEcuador -0.0789 . 0.0061
## countryEgypt -0.0114 . 0.0001
## countryEl Salvador -0.0446 . 0.0020
## countryEquatorial Guinea -0.0046 . 0.0000
## countryEstonia -0.0250 . 0.0006
## countryEthiopia -0.0046 . 0.0000
## countryFiji -0.0093 . 0.0001
## countryFinland 0.0490 . 0.0035
## countryFrance -0.5874 . 0.1199
## countryGabon -0.0093 . 0.0001
## countryGambia, The -0.0046 . 0.0000
## countryGeorgia -0.0131 . 0.0002
## countryGermany 0.0252 . 0.0084
## countryGhana -0.0104 . 0.0001
## countryGreece -0.0232 . 0.0005
## countryGrenada -0.0114 . 0.0001
## countryGuatemala 0.0251 . 0.0018
## countryGuinea -0.0046 . 0.0000
## countryGuyana -0.0154 . 0.0002
## countryHaiti -0.0123 . 0.0001
## countryHoly See -0.0066 . 0.0000
## countryHonduras -0.0308 . 0.0009
## countryHong Kong -0.0271 . 0.0007
## countryHungary -0.0279 . 0.0008
## countryIceland -0.0197 . 0.0004
## countryIndia -0.0479 . 0.0023
## countryIndonesia -0.0308 . 0.0009
## countryIran 0.0418 . 0.0021
## countryIraq -0.0080 . 0.0001
## countryIreland -0.0237 . 0.0012
## countryIsrael 0.0312 . 0.0016
## countryItaly -0.1030 . 0.0204
## countryJamaica -0.0186 . 0.0003
## countryJapan 0.0622 . 0.0116
## countryJordan -0.0080 . 0.0001
## countryKazakhstan -0.0208 . 0.0004
## countryKenya 0.0431 . 0.0022
## countryKosovo -0.0046 . 0.0000
## countryKuwait -0.0066 . 0.0000
## countryKyrgyzstan -0.0080 . 0.0001
## countryLatvia -0.0213 . 0.0004
## countryLebanon -0.0139 . 0.0002
## countryLiberia -0.0046 . 0.0000
## countryLibya -0.0066 . 0.0000
## countryLiechtenstein -0.0066 . 0.0000
## countryLithuania -0.0237 . 0.0006
## countryLuxembourg -0.0325 . 0.0010
## countryMacau -0.0066 . 0.0000
## countryMacedonia -0.0046 . 0.0000
## countryMadagascar -0.0114 . 0.0001
## countryMalawi -0.0046 . 0.0000
## countryMalaysia -0.0363 . 0.0013
## countryMaldives -0.0066 . 0.0000
## countryMali -0.0066 . 0.0000
## countryMalta -0.0139 . 0.0002
## countryMarshall Islands -0.0046 . 0.0000
## countryMauritania -0.0046 . 0.0000
## countryMauritius -0.0114 . 0.0001
## countryMexico -0.1505 . 0.0347
## countryMoldova -0.0080 . 0.0001
## countryMonaco -0.0066 . 0.0000
## countryMontenegro -0.0046 . 0.0000
## countryMorocco -0.0286 . 0.0008
## countryMozambique -0.0046 . 0.0000
## countryNamibia -0.0114 . 0.0001
## countryNetherlands 0.0227 . 0.0016
## countryNew Zealand 0.0474 . 0.0041
## countryNicaragua 0.0367 . 0.0019
## countryNigeria -0.0218 . 0.0005
## countryNorway -0.0325 . 0.0010
## countryOman -0.0066 . 0.0000
## countryPakistan 0.0452 . 0.0023
## countryPalestinian Territories -0.0046 . 0.0000
## countryPanama -0.0394 . 0.0015
## countryParaguay -0.0286 . 0.0008
## countryPeru -0.0949 . 0.0089
## countryPhilippines 0.0451 . 0.0032
## countryPoland -0.0254 . 0.0006
## countryPortugal -0.0727 . 0.0052
## countryQatar -0.0131 . 0.0002
## countryRomania -0.0380 . 0.0014
## countryRussia 0.0406 . 0.0054
## countryRwanda -0.0046 . 0.0000
## countrySaint Lucia -0.0093 . 0.0001
## countrySaint Vincent and the Grenadines -0.0046 . 0.0000
## countrySan Marino -0.0046 . 0.0000
## countrySaudi Arabia -0.0147 . 0.0002
## countrySenegal -0.0167 . 0.0003
## countrySerbia -0.0192 . 0.0004
## countrySingapore 0.0177 . 0.0009
## countrySint Maarten -0.0066 . 0.0000
## countrySlovakia -0.0167 . 0.0003
## countrySlovenia -0.0186 . 0.0003
## countrySolomon Islands -0.0046 . 0.0000
## countrySouth Africa -0.0009 . 0.0000
## countrySouth Korea -0.0174 . 0.0003
## countrySouth Sudan -0.0046 . 0.0000
## countrySpain -0.1151 . 0.0182
## countrySri Lanka -0.0104 . 0.0001
## countrySwaziland -0.0046 . 0.0000
## countrySweden 0.0012 . 0.0001
## countrySwitzerland -0.0000 . 0.0000
## countrySyria -0.0046 . 0.0000
## countryTaiwan -0.0186 . 0.0003
## countryTanzania -0.0066 . 0.0000
## countryThailand -0.0186 . 0.0003
## countryTrinidad and Tobago -0.0186 . 0.0003
## countryTunisia -0.0180 . 0.0003
## countryTurkey -0.0254 . 0.0006
## countryTurkmenistan -0.0104 . 0.0001
## countryTuvalu -0.0046 . 0.0000
## countryUganda -0.0093 . 0.0001
## countryUkraine 0.0177 . 0.0009
## countryUnited Arab Emirates -0.0271 . 0.0007
## countryUnited Kingdom 0.0643 . 0.0148
## countryUnited States of America 0.4080 . 0.1851
## countryUruguay 0.0076 . 0.0004
## countryUzbekistan -0.0046 . 0.0000
## countryVenezuela -0.0694 . 0.0047
## countryVietnam -0.0154 . 0.0002
## countryZimbabwe -0.0093 . 0.0001
## relationship_statusLong-term -0.8568 . 0.3741
## relationship_statusNo relationship 0.9892 . 0.4576
## relationship_statusShort-term -0.3698 . 0.0835
## relationship_length -0.3515 0.5841 0.0242
## eCDF Max
## distance 0.5290
## languagechinese 0.0058
## languagedanish 0.0131
## languageenglish 0.2701
## languagefrench 0.1312
## languagegerman 0.0146
## languageitalian 0.0245
## languagejapanese 0.0068
## languageportuguese 0.0240
## languagerussian 0.0015
## languagespanish 0.0946
## age 0.0877
## countryAfghanistan 0.0001
## countryAlbania 0.0001
## countryAlgeria 0.0022
## countryAndorra 0.0004
## countryAngola 0.0000
## countryAntigua and Barbuda 0.0001
## countryArgentina 0.0059
## countryArmenia 0.0001
## countryAruba 0.0000
## countryAustralia 0.0226
## countryAustria 0.0002
## countryAzerbaijan 0.0000
## countryBahamas, The 0.0001
## countryBahrain 0.0001
## countryBangladesh 0.0000
## countryBarbados 0.0001
## countryBelarus 0.0010
## countryBelgium 0.0091
## countryBelize 0.0001
## countryBenin 0.0001
## countryBhutan 0.0000
## countryBolivia 0.0013
## countryBosnia and Herzegovina 0.0003
## countryBotswana 0.0000
## countryBrazil 0.0172
## countryBrunei 0.0000
## countryBulgaria 0.0006
## countryBurkina Faso 0.0001
## countryBurma 0.0000
## countryCabo Verde 0.0000
## countryCambodia 0.0000
## countryCameroon 0.0002
## countryCanada 0.0221
## countryCentral African Republic 0.0000
## countryChile 0.0015
## countryChina 0.0055
## countryColombia 0.0132
## countryCosta Rica 0.0010
## countryCote d'Ivoire 0.0002
## countryCroatia 0.0004
## countryCuba 0.0001
## countryCuracao 0.0000
## countryCyprus 0.0001
## countryCzechia 0.0069
## countryDenmark 0.0138
## countryDjibouti 0.0000
## countryDominica 0.0001
## countryDominican Republic 0.0003
## countryEast Timor (see Timor-Leste) 0.0000
## countryEcuador 0.0061
## countryEgypt 0.0001
## countryEl Salvador 0.0020
## countryEquatorial Guinea 0.0000
## countryEstonia 0.0006
## countryEthiopia 0.0000
## countryFiji 0.0001
## countryFinland 0.0035
## countryFrance 0.1199
## countryGabon 0.0001
## countryGambia, The 0.0000
## countryGeorgia 0.0002
## countryGermany 0.0084
## countryGhana 0.0001
## countryGreece 0.0005
## countryGrenada 0.0001
## countryGuatemala 0.0018
## countryGuinea 0.0000
## countryGuyana 0.0002
## countryHaiti 0.0001
## countryHoly See 0.0000
## countryHonduras 0.0009
## countryHong Kong 0.0007
## countryHungary 0.0008
## countryIceland 0.0004
## countryIndia 0.0023
## countryIndonesia 0.0009
## countryIran 0.0021
## countryIraq 0.0001
## countryIreland 0.0012
## countryIsrael 0.0016
## countryItaly 0.0204
## countryJamaica 0.0003
## countryJapan 0.0116
## countryJordan 0.0001
## countryKazakhstan 0.0004
## countryKenya 0.0022
## countryKosovo 0.0000
## countryKuwait 0.0000
## countryKyrgyzstan 0.0001
## countryLatvia 0.0004
## countryLebanon 0.0002
## countryLiberia 0.0000
## countryLibya 0.0000
## countryLiechtenstein 0.0000
## countryLithuania 0.0006
## countryLuxembourg 0.0010
## countryMacau 0.0000
## countryMacedonia 0.0000
## countryMadagascar 0.0001
## countryMalawi 0.0000
## countryMalaysia 0.0013
## countryMaldives 0.0000
## countryMali 0.0000
## countryMalta 0.0002
## countryMarshall Islands 0.0000
## countryMauritania 0.0000
## countryMauritius 0.0001
## countryMexico 0.0347
## countryMoldova 0.0001
## countryMonaco 0.0000
## countryMontenegro 0.0000
## countryMorocco 0.0008
## countryMozambique 0.0000
## countryNamibia 0.0001
## countryNetherlands 0.0016
## countryNew Zealand 0.0041
## countryNicaragua 0.0019
## countryNigeria 0.0005
## countryNorway 0.0010
## countryOman 0.0000
## countryPakistan 0.0023
## countryPalestinian Territories 0.0000
## countryPanama 0.0015
## countryParaguay 0.0008
## countryPeru 0.0089
## countryPhilippines 0.0032
## countryPoland 0.0006
## countryPortugal 0.0052
## countryQatar 0.0002
## countryRomania 0.0014
## countryRussia 0.0054
## countryRwanda 0.0000
## countrySaint Lucia 0.0001
## countrySaint Vincent and the Grenadines 0.0000
## countrySan Marino 0.0000
## countrySaudi Arabia 0.0002
## countrySenegal 0.0003
## countrySerbia 0.0004
## countrySingapore 0.0009
## countrySint Maarten 0.0000
## countrySlovakia 0.0003
## countrySlovenia 0.0003
## countrySolomon Islands 0.0000
## countrySouth Africa 0.0000
## countrySouth Korea 0.0003
## countrySouth Sudan 0.0000
## countrySpain 0.0182
## countrySri Lanka 0.0001
## countrySwaziland 0.0000
## countrySweden 0.0001
## countrySwitzerland 0.0000
## countrySyria 0.0000
## countryTaiwan 0.0003
## countryTanzania 0.0000
## countryThailand 0.0003
## countryTrinidad and Tobago 0.0003
## countryTunisia 0.0003
## countryTurkey 0.0006
## countryTurkmenistan 0.0001
## countryTuvalu 0.0000
## countryUganda 0.0001
## countryUkraine 0.0009
## countryUnited Arab Emirates 0.0007
## countryUnited Kingdom 0.0148
## countryUnited States of America 0.1851
## countryUruguay 0.0004
## countryUzbekistan 0.0000
## countryVenezuela 0.0047
## countryVietnam 0.0002
## countryZimbabwe 0.0001
## relationship_statusLong-term 0.3741
## relationship_statusNo relationship 0.4576
## relationship_statusShort-term 0.0835
## relationship_length 0.2738
##
##
## Summary of Balance for Matched Data:
## Means Treated Means Control
## distance 0.0302 0.0302
## languagechinese 0.0000 0.0000
## languagedanish 0.0154 0.0154
## languageenglish 0.4974 0.4923
## languagefrench 0.0641 0.0667
## languagegerman 0.1538 0.1538
## languageitalian 0.0385 0.0410
## languagejapanese 0.0308 0.0308
## languageportuguese 0.0487 0.0487
## languagerussian 0.0179 0.0179
## languagespanish 0.1333 0.1333
## age 23.9410 24.1179
## countryAfghanistan 0.0000 0.0000
## countryAlbania 0.0000 0.0000
## countryAlgeria 0.0026 0.0000
## countryAndorra 0.0000 0.0000
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0000
## countryArgentina 0.0231 0.0231
## countryArmenia 0.0000 0.0000
## countryAruba 0.0000 0.0000
## countryAustralia 0.0333 0.0333
## countryAustria 0.0128 0.0154
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0000
## countryBahrain 0.0000 0.0000
## countryBangladesh 0.0000 0.0000
## countryBarbados 0.0000 0.0000
## countryBelarus 0.0000 0.0000
## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0000
## countryBosnia and Herzegovina 0.0000 0.0000
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0513 0.0487
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0000
## countryBurkina Faso 0.0000 0.0000
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0000
## countryCanada 0.0513 0.0667
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0128 0.0154
## countryChina 0.0000 0.0000
## countryColombia 0.0128 0.0128
## countryCosta Rica 0.0026 0.0026
## countryCote d'Ivoire 0.0000 0.0000
## countryCroatia 0.0000 0.0000
## countryCuba 0.0000 0.0000
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0000
## countryCzechia 0.0077 0.0103
## countryDenmark 0.0154 0.0154
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0000
## countryDominican Republic 0.0026 0.0000
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0000
## countryEgypt 0.0000 0.0000
## countryEl Salvador 0.0000 0.0000
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0000
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0000
## countryFinland 0.0051 0.0051
## countryFrance 0.0436 0.0436
## countryGabon 0.0000 0.0000
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0000
## countryGermany 0.1282 0.1282
## countryGhana 0.0000 0.0000
## countryGreece 0.0000 0.0000
## countryGrenada 0.0000 0.0000
## countryGuatemala 0.0051 0.0026
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0000
## countryHaiti 0.0000 0.0000
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0000
## countryHong Kong 0.0000 0.0000
## countryHungary 0.0000 0.0000
## countryIceland 0.0000 0.0000
## countryIndia 0.0000 0.0000
## countryIndonesia 0.0000 0.0000
## countryIran 0.0026 0.0000
## countryIraq 0.0000 0.0000
## countryIreland 0.0026 0.0000
## countryIsrael 0.0026 0.0000
## countryItaly 0.0410 0.0462
## countryJamaica 0.0000 0.0000
## countryJapan 0.0359 0.0333
## countryJordan 0.0000 0.0000
## countryKazakhstan 0.0000 0.0000
## countryKenya 0.0026 0.0026
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0000
## countryLatvia 0.0000 0.0000
## countryLebanon 0.0000 0.0000
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0000
## countryLuxembourg 0.0000 0.0000
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0000
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0000
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0000
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0000
## countryMexico 0.0564 0.0564
## countryMoldova 0.0000 0.0000
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0000
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0000
## countryNetherlands 0.0051 0.0026
## countryNew Zealand 0.0077 0.0051
## countryNicaragua 0.0026 0.0000
## countryNigeria 0.0000 0.0000
## countryNorway 0.0000 0.0000
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0000
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0000 0.0000
## countryParaguay 0.0000 0.0000
## countryPeru 0.0000 0.0000
## countryPhilippines 0.0051 0.0026
## countryPoland 0.0000 0.0000
## countryPortugal 0.0000 0.0000
## countryQatar 0.0000 0.0000
## countryRomania 0.0000 0.0000
## countryRussia 0.0179 0.0179
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0000
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0000
## countrySenegal 0.0000 0.0000
## countrySerbia 0.0000 0.0000
## countrySingapore 0.0026 0.0026
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0000
## countrySlovenia 0.0000 0.0000
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0026 0.0026
## countrySouth Korea 0.0000 0.0000
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0256 0.0231
## countrySri Lanka 0.0000 0.0000
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0051
## countrySwitzerland 0.0205 0.0179
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0000
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0000
## countryTrinidad and Tobago 0.0000 0.0000
## countryTunisia 0.0000 0.0000
## countryTurkey 0.0000 0.0000
## countryTurkmenistan 0.0000 0.0000
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0000
## countryUkraine 0.0026 0.0026
## countryUnited Arab Emirates 0.0000 0.0000
## countryUnited Kingdom 0.0564 0.0564
## countryUnited States of America 0.2897 0.2974
## countryUruguay 0.0026 0.0026
## countryUzbekistan 0.0000 0.0000
## countryVenezuela 0.0000 0.0000
## countryVietnam 0.0000 0.0000
## countryZimbabwe 0.0000 0.0000
## relationship_statusLong-term 0.2564 0.2462
## relationship_statusNo relationship 0.6897 0.6974
## relationship_statusShort-term 0.0538 0.0564
## relationship_length 1.1564 1.1846
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance 0.0003 1.0043 0.0000
## languagechinese 0.0000 . 0.0000
## languagedanish 0.0000 . 0.0000
## languageenglish 0.0103 . 0.0051
## languagefrench -0.0105 . 0.0026
## languagegerman 0.0000 . 0.0000
## languageitalian -0.0133 . 0.0026
## languagejapanese 0.0000 . 0.0000
## languageportuguese 0.0000 . 0.0000
## languagerussian 0.0000 . 0.0000
## languagespanish 0.0000 . 0.0000
## age -0.0277 0.9376 0.0042
## countryAfghanistan 0.0000 . 0.0000
## countryAlbania 0.0000 . 0.0000
## countryAlgeria 0.0507 . 0.0026
## countryAndorra 0.0000 . 0.0000
## countryAngola 0.0000 . 0.0000
## countryAntigua and Barbuda 0.0000 . 0.0000
## countryArgentina 0.0000 . 0.0000
## countryArmenia 0.0000 . 0.0000
## countryAruba 0.0000 . 0.0000
## countryAustralia 0.0000 . 0.0000
## countryAustria -0.0228 . 0.0026
## countryAzerbaijan 0.0000 . 0.0000
## countryBahamas, The 0.0000 . 0.0000
## countryBahrain 0.0000 . 0.0000
## countryBangladesh 0.0000 . 0.0000
## countryBarbados 0.0000 . 0.0000
## countryBelarus 0.0000 . 0.0000
## countryBelgium 0.0000 . 0.0000
## countryBelize 0.0000 . 0.0000
## countryBenin 0.0000 . 0.0000
## countryBhutan 0.0000 . 0.0000
## countryBolivia 0.0000 . 0.0000
## countryBosnia and Herzegovina 0.0000 . 0.0000
## countryBotswana 0.0000 . 0.0000
## countryBrazil 0.0116 . 0.0026
## countryBrunei 0.0000 . 0.0000
## countryBulgaria 0.0000 . 0.0000
## countryBurkina Faso 0.0000 . 0.0000
## countryBurma 0.0000 . 0.0000
## countryCabo Verde 0.0000 . 0.0000
## countryCambodia 0.0000 . 0.0000
## countryCameroon 0.0000 . 0.0000
## countryCanada -0.0697 . 0.0154
## countryCentral African Republic 0.0000 . 0.0000
## countryChile -0.0228 . 0.0026
## countryChina 0.0000 . 0.0000
## countryColombia 0.0000 . 0.0000
## countryCosta Rica 0.0000 . 0.0000
## countryCote d'Ivoire 0.0000 . 0.0000
## countryCroatia 0.0000 . 0.0000
## countryCuba 0.0000 . 0.0000
## countryCuracao 0.0000 . 0.0000
## countryCyprus 0.0000 . 0.0000
## countryCzechia -0.0293 . 0.0026
## countryDenmark 0.0000 . 0.0000
## countryDjibouti 0.0000 . 0.0000
## countryDominica 0.0000 . 0.0000
## countryDominican Republic 0.0507 . 0.0026
## countryEast Timor (see Timor-Leste) 0.0000 . 0.0000
## countryEcuador 0.0000 . 0.0000
## countryEgypt 0.0000 . 0.0000
## countryEl Salvador 0.0000 . 0.0000
## countryEquatorial Guinea 0.0000 . 0.0000
## countryEstonia 0.0000 . 0.0000
## countryEthiopia 0.0000 . 0.0000
## countryFiji 0.0000 . 0.0000
## countryFinland 0.0000 . 0.0000
## countryFrance 0.0000 . 0.0000
## countryGabon 0.0000 . 0.0000
## countryGambia, The 0.0000 . 0.0000
## countryGeorgia 0.0000 . 0.0000
## countryGermany 0.0000 . 0.0000
## countryGhana 0.0000 . 0.0000
## countryGreece 0.0000 . 0.0000
## countryGrenada 0.0000 . 0.0000
## countryGuatemala 0.0359 . 0.0026
## countryGuinea 0.0000 . 0.0000
## countryGuyana 0.0000 . 0.0000
## countryHaiti 0.0000 . 0.0000
## countryHoly See 0.0000 . 0.0000
## countryHonduras 0.0000 . 0.0000
## countryHong Kong 0.0000 . 0.0000
## countryHungary 0.0000 . 0.0000
## countryIceland 0.0000 . 0.0000
## countryIndia 0.0000 . 0.0000
## countryIndonesia 0.0000 . 0.0000
## countryIran 0.0507 . 0.0026
## countryIraq 0.0000 . 0.0000
## countryIreland 0.0507 . 0.0026
## countryIsrael 0.0507 . 0.0026
## countryItaly -0.0259 . 0.0051
## countryJamaica 0.0000 . 0.0000
## countryJapan 0.0138 . 0.0026
## countryJordan 0.0000 . 0.0000
## countryKazakhstan 0.0000 . 0.0000
## countryKenya 0.0000 . 0.0000
## countryKosovo 0.0000 . 0.0000
## countryKuwait 0.0000 . 0.0000
## countryKyrgyzstan 0.0000 . 0.0000
## countryLatvia 0.0000 . 0.0000
## countryLebanon 0.0000 . 0.0000
## countryLiberia 0.0000 . 0.0000
## countryLibya 0.0000 . 0.0000
## countryLiechtenstein 0.0000 . 0.0000
## countryLithuania 0.0000 . 0.0000
## countryLuxembourg 0.0000 . 0.0000
## countryMacau 0.0000 . 0.0000
## countryMacedonia 0.0000 . 0.0000
## countryMadagascar 0.0000 . 0.0000
## countryMalawi 0.0000 . 0.0000
## countryMalaysia 0.0000 . 0.0000
## countryMaldives 0.0000 . 0.0000
## countryMali 0.0000 . 0.0000
## countryMalta 0.0000 . 0.0000
## countryMarshall Islands 0.0000 . 0.0000
## countryMauritania 0.0000 . 0.0000
## countryMauritius 0.0000 . 0.0000
## countryMexico 0.0000 . 0.0000
## countryMoldova 0.0000 . 0.0000
## countryMonaco 0.0000 . 0.0000
## countryMontenegro 0.0000 . 0.0000
## countryMorocco 0.0000 . 0.0000
## countryMozambique 0.0000 . 0.0000
## countryNamibia 0.0000 . 0.0000
## countryNetherlands 0.0359 . 0.0026
## countryNew Zealand 0.0293 . 0.0026
## countryNicaragua 0.0507 . 0.0026
## countryNigeria 0.0000 . 0.0000
## countryNorway 0.0000 . 0.0000
## countryOman 0.0000 . 0.0000
## countryPakistan 0.0507 . 0.0026
## countryPalestinian Territories 0.0000 . 0.0000
## countryPanama 0.0000 . 0.0000
## countryParaguay 0.0000 . 0.0000
## countryPeru 0.0000 . 0.0000
## countryPhilippines 0.0359 . 0.0026
## countryPoland 0.0000 . 0.0000
## countryPortugal 0.0000 . 0.0000
## countryQatar 0.0000 . 0.0000
## countryRomania 0.0000 . 0.0000
## countryRussia 0.0000 . 0.0000
## countryRwanda 0.0000 . 0.0000
## countrySaint Lucia 0.0000 . 0.0000
## countrySaint Vincent and the Grenadines 0.0000 . 0.0000
## countrySan Marino 0.0000 . 0.0000
## countrySaudi Arabia 0.0000 . 0.0000
## countrySenegal 0.0000 . 0.0000
## countrySerbia 0.0000 . 0.0000
## countrySingapore 0.0000 . 0.0000
## countrySint Maarten 0.0000 . 0.0000
## countrySlovakia 0.0000 . 0.0000
## countrySlovenia 0.0000 . 0.0000
## countrySolomon Islands 0.0000 . 0.0000
## countrySouth Africa 0.0000 . 0.0000
## countrySouth Korea 0.0000 . 0.0000
## countrySouth Sudan 0.0000 . 0.0000
## countrySpain 0.0162 . 0.0026
## countrySri Lanka 0.0000 . 0.0000
## countrySwaziland 0.0000 . 0.0000
## countrySweden -0.0507 . 0.0026
## countrySwitzerland 0.0181 . 0.0026
## countrySyria 0.0000 . 0.0000
## countryTaiwan 0.0000 . 0.0000
## countryTanzania 0.0000 . 0.0000
## countryThailand 0.0000 . 0.0000
## countryTrinidad and Tobago 0.0000 . 0.0000
## countryTunisia 0.0000 . 0.0000
## countryTurkey 0.0000 . 0.0000
## countryTurkmenistan 0.0000 . 0.0000
## countryTuvalu 0.0000 . 0.0000
## countryUganda 0.0000 . 0.0000
## countryUkraine 0.0000 . 0.0000
## countryUnited Arab Emirates 0.0000 . 0.0000
## countryUnited Kingdom 0.0000 . 0.0000
## countryUnited States of America -0.0170 . 0.0077
## countryUruguay 0.0000 . 0.0000
## countryUzbekistan 0.0000 . 0.0000
## countryVenezuela 0.0000 . 0.0000
## countryVietnam 0.0000 . 0.0000
## countryZimbabwe 0.0000 . 0.0000
## relationship_statusLong-term 0.0235 . 0.0103
## relationship_statusNo relationship -0.0166 . 0.0077
## relationship_statusShort-term -0.0114 . 0.0026
## relationship_length -0.0085 0.9637 0.0014
## eCDF Max Std. Pair Dist.
## distance 0.0026 0.0009
## languagechinese 0.0000 0.0000
## languagedanish 0.0000 0.0000
## languageenglish 0.0051 0.0513
## languagefrench 0.0026 0.0523
## languagegerman 0.0000 0.0154
## languageitalian 0.0026 0.0400
## languagejapanese 0.0000 0.0000
## languageportuguese 0.0000 0.0000
## languagerussian 0.0000 0.0051
## languagespanish 0.0000 0.0051
## age 0.0205 0.1487
## countryAfghanistan 0.0000 0.0000
## countryAlbania 0.0000 0.0000
## countryAlgeria 0.0026 0.0507
## countryAndorra 0.0000 0.0000
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0000
## countryArgentina 0.0000 0.0000
## countryArmenia 0.0000 0.0000
## countryAruba 0.0000 0.0000
## countryAustralia 0.0000 0.0051
## countryAustria 0.0026 0.0228
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0000
## countryBahrain 0.0000 0.0000
## countryBangladesh 0.0000 0.0000
## countryBarbados 0.0000 0.0000
## countryBelarus 0.0000 0.0000
## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0000
## countryBosnia and Herzegovina 0.0000 0.0000
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0026 0.0116
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0000
## countryBurkina Faso 0.0000 0.0000
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0000
## countryCanada 0.0154 0.0930
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0026 0.0228
## countryChina 0.0000 0.0000
## countryColombia 0.0000 0.0051
## countryCosta Rica 0.0000 0.0000
## countryCote d'Ivoire 0.0000 0.0000
## countryCroatia 0.0000 0.0000
## countryCuba 0.0000 0.0000
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0000
## countryCzechia 0.0026 0.1467
## countryDenmark 0.0000 0.0000
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0000
## countryDominican Republic 0.0026 0.0507
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0000
## countryEgypt 0.0000 0.0000
## countryEl Salvador 0.0000 0.0000
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0000
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0000
## countryFinland 0.0000 0.0051
## countryFrance 0.0000 0.0000
## countryGabon 0.0000 0.0000
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0000
## countryGermany 0.0000 0.0103
## countryGhana 0.0000 0.0000
## countryGreece 0.0000 0.0000
## countryGrenada 0.0000 0.0000
## countryGuatemala 0.0026 0.0359
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0000
## countryHaiti 0.0000 0.0000
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0000
## countryHong Kong 0.0000 0.0000
## countryHungary 0.0000 0.0000
## countryIceland 0.0000 0.0000
## countryIndia 0.0000 0.0000
## countryIndonesia 0.0000 0.0000
## countryIran 0.0026 0.0507
## countryIraq 0.0000 0.0000
## countryIreland 0.0026 0.0507
## countryIsrael 0.0026 0.0507
## countryItaly 0.0051 0.0517
## countryJamaica 0.0000 0.0000
## countryJapan 0.0026 0.0138
## countryJordan 0.0000 0.0000
## countryKazakhstan 0.0000 0.0000
## countryKenya 0.0000 0.0000
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0000
## countryLatvia 0.0000 0.0000
## countryLebanon 0.0000 0.0000
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0000
## countryLuxembourg 0.0000 0.0000
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0000
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0000
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0000
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0000
## countryMexico 0.0000 0.0051
## countryMoldova 0.0000 0.0000
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0000
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0000
## countryNetherlands 0.0026 0.0359
## countryNew Zealand 0.0026 0.0880
## countryNicaragua 0.0026 0.0507
## countryNigeria 0.0000 0.0000
## countryNorway 0.0000 0.0000
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0507
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0000 0.0000
## countryParaguay 0.0000 0.0000
## countryPeru 0.0000 0.0000
## countryPhilippines 0.0026 0.1077
## countryPoland 0.0000 0.0000
## countryPortugal 0.0000 0.0000
## countryQatar 0.0000 0.0000
## countryRomania 0.0000 0.0000
## countryRussia 0.0000 0.0051
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0000
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0000
## countrySenegal 0.0000 0.0000
## countrySerbia 0.0000 0.0000
## countrySingapore 0.0000 0.0000
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0000
## countrySlovenia 0.0000 0.0000
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0000 0.0000
## countrySouth Korea 0.0000 0.0000
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0026 0.0162
## countrySri Lanka 0.0000 0.0000
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.1521
## countrySwitzerland 0.0026 0.0181
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0000
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0000
## countryTrinidad and Tobago 0.0000 0.0000
## countryTunisia 0.0000 0.0000
## countryTurkey 0.0000 0.0000
## countryTurkmenistan 0.0000 0.0000
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0000
## countryUkraine 0.0000 0.0000
## countryUnited Arab Emirates 0.0000 0.0000
## countryUnited Kingdom 0.0000 0.0051
## countryUnited States of America 0.0077 0.0396
## countryUruguay 0.0000 0.0000
## countryUzbekistan 0.0000 0.0000
## countryVenezuela 0.0000 0.0000
## countryVietnam 0.0000 0.0000
## countryZimbabwe 0.0000 0.0000
## relationship_statusLong-term 0.0103 0.0470
## relationship_statusNo relationship 0.0077 0.0388
## relationship_statusShort-term 0.0026 0.0114
## relationship_length 0.0077 0.1105
##
## Sample Sizes:
## Control Treated
## All 46746 390
## Matched 390 390
## Unmatched 46356 0
## Discarded 0 0bal.tab(nnm, m.threshold = 0.1, un = T, binary = "std") #smd## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "nearest")
##
## Balance Measures
## Type Diff.Un Diff.Adj
## distance Distance 0.7498 0.0003
## language_chinese Binary -0.0767 0.0000
## language_danish Binary -0.1062 0.0000
## language_english Binary 0.5402 0.0103
## language_french Binary -0.5356 -0.0105
## language_german Binary 0.0406 0.0000
## language_italian Binary -0.1272 -0.0133
## language_japanese Binary 0.0392 0.0000
## language_portuguese Binary -0.1115 0.0000
## language_russian Binary 0.0116 0.0000
## language_spanish Binary -0.2782 0.0000
## age Contin. -0.1964 -0.0277
## country_Afghanistan Binary -0.0080 0.0000
## country_Albania Binary -0.0093 0.0000
## country_Algeria Binary 0.0444 0.0507
## country_Andorra Binary -0.0192 0.0000
## country_Angola Binary -0.0066 0.0000
## country_Antigua and Barbuda Binary -0.0093 0.0000
## country_Argentina Binary 0.0391 0.0000
## country_Armenia Binary -0.0093 0.0000
## country_Aruba Binary -0.0066 0.0000
## country_Australia Binary 0.1256 0.0000
## country_Austria Binary 0.0014 -0.0228
## country_Azerbaijan Binary -0.0046 0.0000
## country_Bahamas, The Binary -0.0104 0.0000
## country_Bahrain Binary -0.0080 0.0000
## country_Bangladesh Binary -0.0046 0.0000
## country_Barbados Binary -0.0093 0.0000
## country_Belarus Binary -0.0312 0.0000
## country_Belgium Binary -0.0964 0.0000
## country_Belize Binary -0.0080 0.0000
## country_Benin Binary -0.0080 0.0000
## country_Bhutan Binary -0.0046 0.0000
## country_Bolivia Binary -0.0360 0.0000
## country_Bosnia and Herzegovina Binary -0.0161 0.0000
## country_Botswana Binary -0.0046 0.0000
## country_Brazil Binary -0.0778 0.0116
## country_Brunei Binary -0.0046 0.0000
## country_Bulgaria Binary -0.0254 0.0000
## country_Burkina Faso Binary -0.0080 0.0000
## country_Burma Binary -0.0066 0.0000
## country_Cabo Verde Binary -0.0046 0.0000
## country_Cambodia Binary -0.0046 0.0000
## country_Cameroon Binary -0.0147 0.0000
## country_Canada Binary 0.1002 -0.0697
## country_Central African Republic Binary -0.0066 0.0000
## country_Chile Binary 0.0137 -0.0228
## country_China Binary -0.0748 0.0000
## country_Colombia Binary -0.1173 0.0000
## country_Costa Rica Binary -0.0204 0.0000
## country_Cote d'Ivoire Binary -0.0131 0.0000
## country_Croatia Binary -0.0208 0.0000
## country_Cuba Binary -0.0114 0.0000
## country_Curacao Binary -0.0046 0.0000
## country_Cyprus Binary -0.0080 0.0000
## country_Czechia Binary 0.0792 -0.0293
## country_Denmark Binary -0.1124 0.0000
## country_Djibouti Binary -0.0046 0.0000
## country_Dominica Binary -0.0080 0.0000
## country_Dominican Republic Binary 0.0059 0.0507
## country_East Timor (see Timor-Leste) Binary -0.0046 0.0000
## country_Ecuador Binary -0.0789 0.0000
## country_Egypt Binary -0.0114 0.0000
## country_El Salvador Binary -0.0446 0.0000
## country_Equatorial Guinea Binary -0.0046 0.0000
## country_Estonia Binary -0.0250 0.0000
## country_Ethiopia Binary -0.0046 0.0000
## country_Fiji Binary -0.0093 0.0000
## country_Finland Binary 0.0490 0.0000
## country_France Binary -0.5874 0.0000
## country_Gabon Binary -0.0093 0.0000
## country_Gambia, The Binary -0.0046 0.0000
## country_Georgia Binary -0.0131 0.0000
## country_Germany Binary 0.0252 0.0000
## country_Ghana Binary -0.0104 0.0000
## country_Greece Binary -0.0232 0.0000
## country_Grenada Binary -0.0114 0.0000
## country_Guatemala Binary 0.0251 0.0359
## country_Guinea Binary -0.0046 0.0000
## country_Guyana Binary -0.0154 0.0000
## country_Haiti Binary -0.0123 0.0000
## country_Holy See Binary -0.0066 0.0000
## country_Honduras Binary -0.0308 0.0000
## country_Hong Kong Binary -0.0271 0.0000
## country_Hungary Binary -0.0279 0.0000
## country_Iceland Binary -0.0197 0.0000
## country_India Binary -0.0479 0.0000
## country_Indonesia Binary -0.0308 0.0000
## country_Iran Binary 0.0418 0.0507
## country_Iraq Binary -0.0080 0.0000
## country_Ireland Binary -0.0237 0.0507
## country_Israel Binary 0.0312 0.0507
## country_Italy Binary -0.1030 -0.0259
## country_Jamaica Binary -0.0186 0.0000
## country_Japan Binary 0.0622 0.0138
## country_Jordan Binary -0.0080 0.0000
## country_Kazakhstan Binary -0.0208 0.0000
## country_Kenya Binary 0.0431 0.0000
## country_Kosovo Binary -0.0046 0.0000
## country_Kuwait Binary -0.0066 0.0000
## country_Kyrgyzstan Binary -0.0080 0.0000
## country_Latvia Binary -0.0213 0.0000
## country_Lebanon Binary -0.0139 0.0000
## country_Liberia Binary -0.0046 0.0000
## country_Libya Binary -0.0066 0.0000
## country_Liechtenstein Binary -0.0066 0.0000
## country_Lithuania Binary -0.0237 0.0000
## country_Luxembourg Binary -0.0325 0.0000
## country_Macau Binary -0.0066 0.0000
## country_Macedonia Binary -0.0046 0.0000
## country_Madagascar Binary -0.0114 0.0000
## country_Malawi Binary -0.0046 0.0000
## country_Malaysia Binary -0.0363 0.0000
## country_Maldives Binary -0.0066 0.0000
## country_Mali Binary -0.0066 0.0000
## country_Malta Binary -0.0139 0.0000
## country_Marshall Islands Binary -0.0046 0.0000
## country_Mauritania Binary -0.0046 0.0000
## country_Mauritius Binary -0.0114 0.0000
## country_Mexico Binary -0.1505 0.0000
## country_Moldova Binary -0.0080 0.0000
## country_Monaco Binary -0.0066 0.0000
## country_Montenegro Binary -0.0046 0.0000
## country_Morocco Binary -0.0286 0.0000
## country_Mozambique Binary -0.0046 0.0000
## country_Namibia Binary -0.0114 0.0000
## country_Netherlands Binary 0.0227 0.0359
## country_New Zealand Binary 0.0474 0.0293
## country_Nicaragua Binary 0.0367 0.0507
## country_Nigeria Binary -0.0218 0.0000
## country_Norway Binary -0.0325 0.0000
## country_Oman Binary -0.0066 0.0000
## country_Pakistan Binary 0.0452 0.0507
## country_Palestinian Territories Binary -0.0046 0.0000
## country_Panama Binary -0.0394 0.0000
## country_Paraguay Binary -0.0286 0.0000
## country_Peru Binary -0.0949 0.0000
## country_Philippines Binary 0.0451 0.0359
## country_Poland Binary -0.0254 0.0000
## country_Portugal Binary -0.0727 0.0000
## country_Qatar Binary -0.0131 0.0000
## country_Romania Binary -0.0380 0.0000
## country_Russia Binary 0.0406 0.0000
## country_Rwanda Binary -0.0046 0.0000
## country_Saint Lucia Binary -0.0093 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0046 0.0000
## country_San Marino Binary -0.0046 0.0000
## country_Saudi Arabia Binary -0.0147 0.0000
## country_Senegal Binary -0.0167 0.0000
## country_Serbia Binary -0.0192 0.0000
## country_Singapore Binary 0.0177 0.0000
## country_Sint Maarten Binary -0.0066 0.0000
## country_Slovakia Binary -0.0167 0.0000
## country_Slovenia Binary -0.0186 0.0000
## country_Solomon Islands Binary -0.0046 0.0000
## country_South Africa Binary -0.0009 0.0000
## country_South Korea Binary -0.0174 0.0000
## country_South Sudan Binary -0.0046 0.0000
## country_Spain Binary -0.1151 0.0162
## country_Sri Lanka Binary -0.0104 0.0000
## country_Swaziland Binary -0.0046 0.0000
## country_Sweden Binary 0.0012 -0.0507
## country_Switzerland Binary -0.0000 0.0181
## country_Syria Binary -0.0046 0.0000
## country_Taiwan Binary -0.0186 0.0000
## country_Tanzania Binary -0.0066 0.0000
## country_Thailand Binary -0.0186 0.0000
## country_Trinidad and Tobago Binary -0.0186 0.0000
## country_Tunisia Binary -0.0180 0.0000
## country_Turkey Binary -0.0254 0.0000
## country_Turkmenistan Binary -0.0104 0.0000
## country_Tuvalu Binary -0.0046 0.0000
## country_Uganda Binary -0.0093 0.0000
## country_Ukraine Binary 0.0177 0.0000
## country_United Arab Emirates Binary -0.0271 0.0000
## country_United Kingdom Binary 0.0643 0.0000
## country_United States of America Binary 0.4080 -0.0170
## country_Uruguay Binary 0.0076 0.0000
## country_Uzbekistan Binary -0.0046 0.0000
## country_Venezuela Binary -0.0694 0.0000
## country_Vietnam Binary -0.0154 0.0000
## country_Zimbabwe Binary -0.0093 0.0000
## relationship_status_Long-term Binary -0.8568 0.0235
## relationship_status_No relationship Binary 0.9892 -0.0166
## relationship_status_Short-term Binary -0.3698 -0.0114
## relationship_length Contin. -0.3515 -0.0085
## M.Threshold
## distance Balanced, <0.1
## language_chinese Balanced, <0.1
## language_danish Balanced, <0.1
## language_english Balanced, <0.1
## language_french Balanced, <0.1
## language_german Balanced, <0.1
## language_italian Balanced, <0.1
## language_japanese Balanced, <0.1
## language_portuguese Balanced, <0.1
## language_russian Balanced, <0.1
## language_spanish Balanced, <0.1
## age Balanced, <0.1
## country_Afghanistan Balanced, <0.1
## country_Albania Balanced, <0.1
## country_Algeria Balanced, <0.1
## country_Andorra Balanced, <0.1
## country_Angola Balanced, <0.1
## country_Antigua and Barbuda Balanced, <0.1
## country_Argentina Balanced, <0.1
## country_Armenia Balanced, <0.1
## country_Aruba Balanced, <0.1
## country_Australia Balanced, <0.1
## country_Austria Balanced, <0.1
## country_Azerbaijan Balanced, <0.1
## country_Bahamas, The Balanced, <0.1
## country_Bahrain Balanced, <0.1
## country_Bangladesh Balanced, <0.1
## country_Barbados Balanced, <0.1
## country_Belarus Balanced, <0.1
## country_Belgium Balanced, <0.1
## country_Belize Balanced, <0.1
## country_Benin Balanced, <0.1
## country_Bhutan Balanced, <0.1
## country_Bolivia Balanced, <0.1
## country_Bosnia and Herzegovina Balanced, <0.1
## country_Botswana Balanced, <0.1
## country_Brazil Balanced, <0.1
## country_Brunei Balanced, <0.1
## country_Bulgaria Balanced, <0.1
## country_Burkina Faso Balanced, <0.1
## country_Burma Balanced, <0.1
## country_Cabo Verde Balanced, <0.1
## country_Cambodia Balanced, <0.1
## country_Cameroon Balanced, <0.1
## country_Canada Balanced, <0.1
## country_Central African Republic Balanced, <0.1
## country_Chile Balanced, <0.1
## country_China Balanced, <0.1
## country_Colombia Balanced, <0.1
## country_Costa Rica Balanced, <0.1
## country_Cote d'Ivoire Balanced, <0.1
## country_Croatia Balanced, <0.1
## country_Cuba Balanced, <0.1
## country_Curacao Balanced, <0.1
## country_Cyprus Balanced, <0.1
## country_Czechia Balanced, <0.1
## country_Denmark Balanced, <0.1
## country_Djibouti Balanced, <0.1
## country_Dominica Balanced, <0.1
## country_Dominican Republic Balanced, <0.1
## country_East Timor (see Timor-Leste) Balanced, <0.1
## country_Ecuador Balanced, <0.1
## country_Egypt Balanced, <0.1
## country_El Salvador Balanced, <0.1
## country_Equatorial Guinea Balanced, <0.1
## country_Estonia Balanced, <0.1
## country_Ethiopia Balanced, <0.1
## country_Fiji Balanced, <0.1
## country_Finland Balanced, <0.1
## country_France Balanced, <0.1
## country_Gabon Balanced, <0.1
## country_Gambia, The Balanced, <0.1
## country_Georgia Balanced, <0.1
## country_Germany Balanced, <0.1
## country_Ghana Balanced, <0.1
## country_Greece Balanced, <0.1
## country_Grenada Balanced, <0.1
## country_Guatemala Balanced, <0.1
## country_Guinea Balanced, <0.1
## country_Guyana Balanced, <0.1
## country_Haiti Balanced, <0.1
## country_Holy See Balanced, <0.1
## country_Honduras Balanced, <0.1
## country_Hong Kong Balanced, <0.1
## country_Hungary Balanced, <0.1
## country_Iceland Balanced, <0.1
## country_India Balanced, <0.1
## country_Indonesia Balanced, <0.1
## country_Iran Balanced, <0.1
## country_Iraq Balanced, <0.1
## country_Ireland Balanced, <0.1
## country_Israel Balanced, <0.1
## country_Italy Balanced, <0.1
## country_Jamaica Balanced, <0.1
## country_Japan Balanced, <0.1
## country_Jordan Balanced, <0.1
## country_Kazakhstan Balanced, <0.1
## country_Kenya Balanced, <0.1
## country_Kosovo Balanced, <0.1
## country_Kuwait Balanced, <0.1
## country_Kyrgyzstan Balanced, <0.1
## country_Latvia Balanced, <0.1
## country_Lebanon Balanced, <0.1
## country_Liberia Balanced, <0.1
## country_Libya Balanced, <0.1
## country_Liechtenstein Balanced, <0.1
## country_Lithuania Balanced, <0.1
## country_Luxembourg Balanced, <0.1
## country_Macau Balanced, <0.1
## country_Macedonia Balanced, <0.1
## country_Madagascar Balanced, <0.1
## country_Malawi Balanced, <0.1
## country_Malaysia Balanced, <0.1
## country_Maldives Balanced, <0.1
## country_Mali Balanced, <0.1
## country_Malta Balanced, <0.1
## country_Marshall Islands Balanced, <0.1
## country_Mauritania Balanced, <0.1
## country_Mauritius Balanced, <0.1
## country_Mexico Balanced, <0.1
## country_Moldova Balanced, <0.1
## country_Monaco Balanced, <0.1
## country_Montenegro Balanced, <0.1
## country_Morocco Balanced, <0.1
## country_Mozambique Balanced, <0.1
## country_Namibia Balanced, <0.1
## country_Netherlands Balanced, <0.1
## country_New Zealand Balanced, <0.1
## country_Nicaragua Balanced, <0.1
## country_Nigeria Balanced, <0.1
## country_Norway Balanced, <0.1
## country_Oman Balanced, <0.1
## country_Pakistan Balanced, <0.1
## country_Palestinian Territories Balanced, <0.1
## country_Panama Balanced, <0.1
## country_Paraguay Balanced, <0.1
## country_Peru Balanced, <0.1
## country_Philippines Balanced, <0.1
## country_Poland Balanced, <0.1
## country_Portugal Balanced, <0.1
## country_Qatar Balanced, <0.1
## country_Romania Balanced, <0.1
## country_Russia Balanced, <0.1
## country_Rwanda Balanced, <0.1
## country_Saint Lucia Balanced, <0.1
## country_Saint Vincent and the Grenadines Balanced, <0.1
## country_San Marino Balanced, <0.1
## country_Saudi Arabia Balanced, <0.1
## country_Senegal Balanced, <0.1
## country_Serbia Balanced, <0.1
## country_Singapore Balanced, <0.1
## country_Sint Maarten Balanced, <0.1
## country_Slovakia Balanced, <0.1
## country_Slovenia Balanced, <0.1
## country_Solomon Islands Balanced, <0.1
## country_South Africa Balanced, <0.1
## country_South Korea Balanced, <0.1
## country_South Sudan Balanced, <0.1
## country_Spain Balanced, <0.1
## country_Sri Lanka Balanced, <0.1
## country_Swaziland Balanced, <0.1
## country_Sweden Balanced, <0.1
## country_Switzerland Balanced, <0.1
## country_Syria Balanced, <0.1
## country_Taiwan Balanced, <0.1
## country_Tanzania Balanced, <0.1
## country_Thailand Balanced, <0.1
## country_Trinidad and Tobago Balanced, <0.1
## country_Tunisia Balanced, <0.1
## country_Turkey Balanced, <0.1
## country_Turkmenistan Balanced, <0.1
## country_Tuvalu Balanced, <0.1
## country_Uganda Balanced, <0.1
## country_Ukraine Balanced, <0.1
## country_United Arab Emirates Balanced, <0.1
## country_United Kingdom Balanced, <0.1
## country_United States of America Balanced, <0.1
## country_Uruguay Balanced, <0.1
## country_Uzbekistan Balanced, <0.1
## country_Venezuela Balanced, <0.1
## country_Vietnam Balanced, <0.1
## country_Zimbabwe Balanced, <0.1
## relationship_status_Long-term Balanced, <0.1
## relationship_status_No relationship Balanced, <0.1
## relationship_status_Short-term Balanced, <0.1
## relationship_length Balanced, <0.1
##
## Balance tally for mean differences
## count
## Balanced, <0.1 186
## Not Balanced, >0.1 0
##
## Variable with the greatest mean difference
## Variable Diff.Adj M.Threshold
## country_Canada -0.0697 Balanced, <0.1
##
## Sample sizes
## Control Treated
## All 46746 390
## Matched 390 390
## Unmatched 46356 0bal.tab(nnm, v.threshold = 2, un = T) #vr (can only be calculated for continuous variables)## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "nearest")
##
## Balance Measures
## Type Diff.Un V.Ratio.Un Diff.Adj
## distance Distance 0.7498 4.8204 0.0003
## language_chinese Binary -0.0767 . 0.0000
## language_danish Binary -0.1062 . 0.0000
## language_english Binary 0.5402 . 0.0103
## language_french Binary -0.5356 . -0.0105
## language_german Binary 0.0406 . 0.0000
## language_italian Binary -0.1272 . -0.0133
## language_japanese Binary 0.0392 . 0.0000
## language_portuguese Binary -0.1115 . 0.0000
## language_russian Binary 0.0116 . 0.0000
## language_spanish Binary -0.2782 . 0.0000
## age Contin. -0.1964 0.7691 -0.0277
## country_Afghanistan Binary -0.0080 . 0.0000
## country_Albania Binary -0.0093 . 0.0000
## country_Algeria Binary 0.0444 . 0.0507
## country_Andorra Binary -0.0192 . 0.0000
## country_Angola Binary -0.0066 . 0.0000
## country_Antigua and Barbuda Binary -0.0093 . 0.0000
## country_Argentina Binary 0.0391 . 0.0000
## country_Armenia Binary -0.0093 . 0.0000
## country_Aruba Binary -0.0066 . 0.0000
## country_Australia Binary 0.1256 . 0.0000
## country_Austria Binary 0.0014 . -0.0228
## country_Azerbaijan Binary -0.0046 . 0.0000
## country_Bahamas, The Binary -0.0104 . 0.0000
## country_Bahrain Binary -0.0080 . 0.0000
## country_Bangladesh Binary -0.0046 . 0.0000
## country_Barbados Binary -0.0093 . 0.0000
## country_Belarus Binary -0.0312 . 0.0000
## country_Belgium Binary -0.0964 . 0.0000
## country_Belize Binary -0.0080 . 0.0000
## country_Benin Binary -0.0080 . 0.0000
## country_Bhutan Binary -0.0046 . 0.0000
## country_Bolivia Binary -0.0360 . 0.0000
## country_Bosnia and Herzegovina Binary -0.0161 . 0.0000
## country_Botswana Binary -0.0046 . 0.0000
## country_Brazil Binary -0.0778 . 0.0116
## country_Brunei Binary -0.0046 . 0.0000
## country_Bulgaria Binary -0.0254 . 0.0000
## country_Burkina Faso Binary -0.0080 . 0.0000
## country_Burma Binary -0.0066 . 0.0000
## country_Cabo Verde Binary -0.0046 . 0.0000
## country_Cambodia Binary -0.0046 . 0.0000
## country_Cameroon Binary -0.0147 . 0.0000
## country_Canada Binary 0.1002 . -0.0697
## country_Central African Republic Binary -0.0066 . 0.0000
## country_Chile Binary 0.0137 . -0.0228
## country_China Binary -0.0748 . 0.0000
## country_Colombia Binary -0.1173 . 0.0000
## country_Costa Rica Binary -0.0204 . 0.0000
## country_Cote d'Ivoire Binary -0.0131 . 0.0000
## country_Croatia Binary -0.0208 . 0.0000
## country_Cuba Binary -0.0114 . 0.0000
## country_Curacao Binary -0.0046 . 0.0000
## country_Cyprus Binary -0.0080 . 0.0000
## country_Czechia Binary 0.0792 . -0.0293
## country_Denmark Binary -0.1124 . 0.0000
## country_Djibouti Binary -0.0046 . 0.0000
## country_Dominica Binary -0.0080 . 0.0000
## country_Dominican Republic Binary 0.0059 . 0.0507
## country_East Timor (see Timor-Leste) Binary -0.0046 . 0.0000
## country_Ecuador Binary -0.0789 . 0.0000
## country_Egypt Binary -0.0114 . 0.0000
## country_El Salvador Binary -0.0446 . 0.0000
## country_Equatorial Guinea Binary -0.0046 . 0.0000
## country_Estonia Binary -0.0250 . 0.0000
## country_Ethiopia Binary -0.0046 . 0.0000
## country_Fiji Binary -0.0093 . 0.0000
## country_Finland Binary 0.0490 . 0.0000
## country_France Binary -0.5874 . 0.0000
## country_Gabon Binary -0.0093 . 0.0000
## country_Gambia, The Binary -0.0046 . 0.0000
## country_Georgia Binary -0.0131 . 0.0000
## country_Germany Binary 0.0252 . 0.0000
## country_Ghana Binary -0.0104 . 0.0000
## country_Greece Binary -0.0232 . 0.0000
## country_Grenada Binary -0.0114 . 0.0000
## country_Guatemala Binary 0.0251 . 0.0359
## country_Guinea Binary -0.0046 . 0.0000
## country_Guyana Binary -0.0154 . 0.0000
## country_Haiti Binary -0.0123 . 0.0000
## country_Holy See Binary -0.0066 . 0.0000
## country_Honduras Binary -0.0308 . 0.0000
## country_Hong Kong Binary -0.0271 . 0.0000
## country_Hungary Binary -0.0279 . 0.0000
## country_Iceland Binary -0.0197 . 0.0000
## country_India Binary -0.0479 . 0.0000
## country_Indonesia Binary -0.0308 . 0.0000
## country_Iran Binary 0.0418 . 0.0507
## country_Iraq Binary -0.0080 . 0.0000
## country_Ireland Binary -0.0237 . 0.0507
## country_Israel Binary 0.0312 . 0.0507
## country_Italy Binary -0.1030 . -0.0259
## country_Jamaica Binary -0.0186 . 0.0000
## country_Japan Binary 0.0622 . 0.0138
## country_Jordan Binary -0.0080 . 0.0000
## country_Kazakhstan Binary -0.0208 . 0.0000
## country_Kenya Binary 0.0431 . 0.0000
## country_Kosovo Binary -0.0046 . 0.0000
## country_Kuwait Binary -0.0066 . 0.0000
## country_Kyrgyzstan Binary -0.0080 . 0.0000
## country_Latvia Binary -0.0213 . 0.0000
## country_Lebanon Binary -0.0139 . 0.0000
## country_Liberia Binary -0.0046 . 0.0000
## country_Libya Binary -0.0066 . 0.0000
## country_Liechtenstein Binary -0.0066 . 0.0000
## country_Lithuania Binary -0.0237 . 0.0000
## country_Luxembourg Binary -0.0325 . 0.0000
## country_Macau Binary -0.0066 . 0.0000
## country_Macedonia Binary -0.0046 . 0.0000
## country_Madagascar Binary -0.0114 . 0.0000
## country_Malawi Binary -0.0046 . 0.0000
## country_Malaysia Binary -0.0363 . 0.0000
## country_Maldives Binary -0.0066 . 0.0000
## country_Mali Binary -0.0066 . 0.0000
## country_Malta Binary -0.0139 . 0.0000
## country_Marshall Islands Binary -0.0046 . 0.0000
## country_Mauritania Binary -0.0046 . 0.0000
## country_Mauritius Binary -0.0114 . 0.0000
## country_Mexico Binary -0.1505 . 0.0000
## country_Moldova Binary -0.0080 . 0.0000
## country_Monaco Binary -0.0066 . 0.0000
## country_Montenegro Binary -0.0046 . 0.0000
## country_Morocco Binary -0.0286 . 0.0000
## country_Mozambique Binary -0.0046 . 0.0000
## country_Namibia Binary -0.0114 . 0.0000
## country_Netherlands Binary 0.0227 . 0.0359
## country_New Zealand Binary 0.0474 . 0.0293
## country_Nicaragua Binary 0.0367 . 0.0507
## country_Nigeria Binary -0.0218 . 0.0000
## country_Norway Binary -0.0325 . 0.0000
## country_Oman Binary -0.0066 . 0.0000
## country_Pakistan Binary 0.0452 . 0.0507
## country_Palestinian Territories Binary -0.0046 . 0.0000
## country_Panama Binary -0.0394 . 0.0000
## country_Paraguay Binary -0.0286 . 0.0000
## country_Peru Binary -0.0949 . 0.0000
## country_Philippines Binary 0.0451 . 0.0359
## country_Poland Binary -0.0254 . 0.0000
## country_Portugal Binary -0.0727 . 0.0000
## country_Qatar Binary -0.0131 . 0.0000
## country_Romania Binary -0.0380 . 0.0000
## country_Russia Binary 0.0406 . 0.0000
## country_Rwanda Binary -0.0046 . 0.0000
## country_Saint Lucia Binary -0.0093 . 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0046 . 0.0000
## country_San Marino Binary -0.0046 . 0.0000
## country_Saudi Arabia Binary -0.0147 . 0.0000
## country_Senegal Binary -0.0167 . 0.0000
## country_Serbia Binary -0.0192 . 0.0000
## country_Singapore Binary 0.0177 . 0.0000
## country_Sint Maarten Binary -0.0066 . 0.0000
## country_Slovakia Binary -0.0167 . 0.0000
## country_Slovenia Binary -0.0186 . 0.0000
## country_Solomon Islands Binary -0.0046 . 0.0000
## country_South Africa Binary -0.0009 . 0.0000
## country_South Korea Binary -0.0174 . 0.0000
## country_South Sudan Binary -0.0046 . 0.0000
## country_Spain Binary -0.1151 . 0.0162
## country_Sri Lanka Binary -0.0104 . 0.0000
## country_Swaziland Binary -0.0046 . 0.0000
## country_Sweden Binary 0.0012 . -0.0507
## country_Switzerland Binary -0.0000 . 0.0181
## country_Syria Binary -0.0046 . 0.0000
## country_Taiwan Binary -0.0186 . 0.0000
## country_Tanzania Binary -0.0066 . 0.0000
## country_Thailand Binary -0.0186 . 0.0000
## country_Trinidad and Tobago Binary -0.0186 . 0.0000
## country_Tunisia Binary -0.0180 . 0.0000
## country_Turkey Binary -0.0254 . 0.0000
## country_Turkmenistan Binary -0.0104 . 0.0000
## country_Tuvalu Binary -0.0046 . 0.0000
## country_Uganda Binary -0.0093 . 0.0000
## country_Ukraine Binary 0.0177 . 0.0000
## country_United Arab Emirates Binary -0.0271 . 0.0000
## country_United Kingdom Binary 0.0643 . 0.0000
## country_United States of America Binary 0.4080 . -0.0170
## country_Uruguay Binary 0.0076 . 0.0000
## country_Uzbekistan Binary -0.0046 . 0.0000
## country_Venezuela Binary -0.0694 . 0.0000
## country_Vietnam Binary -0.0154 . 0.0000
## country_Zimbabwe Binary -0.0093 . 0.0000
## relationship_status_Long-term Binary -0.8568 . 0.0235
## relationship_status_No relationship Binary 0.9892 . -0.0166
## relationship_status_Short-term Binary -0.3698 . -0.0114
## relationship_length Contin. -0.3515 0.5841 -0.0085
## V.Ratio.Adj V.Threshold
## distance 1.0043 Balanced, <2
## language_chinese .
## language_danish .
## language_english .
## language_french .
## language_german .
## language_italian .
## language_japanese .
## language_portuguese .
## language_russian .
## language_spanish .
## age 0.9376 Balanced, <2
## country_Afghanistan .
## country_Albania .
## country_Algeria .
## country_Andorra .
## country_Angola .
## country_Antigua and Barbuda .
## country_Argentina .
## country_Armenia .
## country_Aruba .
## country_Australia .
## country_Austria .
## country_Azerbaijan .
## country_Bahamas, The .
## country_Bahrain .
## country_Bangladesh .
## country_Barbados .
## country_Belarus .
## country_Belgium .
## country_Belize .
## country_Benin .
## country_Bhutan .
## country_Bolivia .
## country_Bosnia and Herzegovina .
## country_Botswana .
## country_Brazil .
## country_Brunei .
## country_Bulgaria .
## country_Burkina Faso .
## country_Burma .
## country_Cabo Verde .
## country_Cambodia .
## country_Cameroon .
## country_Canada .
## country_Central African Republic .
## country_Chile .
## country_China .
## country_Colombia .
## country_Costa Rica .
## country_Cote d'Ivoire .
## country_Croatia .
## country_Cuba .
## country_Curacao .
## country_Cyprus .
## country_Czechia .
## country_Denmark .
## country_Djibouti .
## country_Dominica .
## country_Dominican Republic .
## country_East Timor (see Timor-Leste) .
## country_Ecuador .
## country_Egypt .
## country_El Salvador .
## country_Equatorial Guinea .
## country_Estonia .
## country_Ethiopia .
## country_Fiji .
## country_Finland .
## country_France .
## country_Gabon .
## country_Gambia, The .
## country_Georgia .
## country_Germany .
## country_Ghana .
## country_Greece .
## country_Grenada .
## country_Guatemala .
## country_Guinea .
## country_Guyana .
## country_Haiti .
## country_Holy See .
## country_Honduras .
## country_Hong Kong .
## country_Hungary .
## country_Iceland .
## country_India .
## country_Indonesia .
## country_Iran .
## country_Iraq .
## country_Ireland .
## country_Israel .
## country_Italy .
## country_Jamaica .
## country_Japan .
## country_Jordan .
## country_Kazakhstan .
## country_Kenya .
## country_Kosovo .
## country_Kuwait .
## country_Kyrgyzstan .
## country_Latvia .
## country_Lebanon .
## country_Liberia .
## country_Libya .
## country_Liechtenstein .
## country_Lithuania .
## country_Luxembourg .
## country_Macau .
## country_Macedonia .
## country_Madagascar .
## country_Malawi .
## country_Malaysia .
## country_Maldives .
## country_Mali .
## country_Malta .
## country_Marshall Islands .
## country_Mauritania .
## country_Mauritius .
## country_Mexico .
## country_Moldova .
## country_Monaco .
## country_Montenegro .
## country_Morocco .
## country_Mozambique .
## country_Namibia .
## country_Netherlands .
## country_New Zealand .
## country_Nicaragua .
## country_Nigeria .
## country_Norway .
## country_Oman .
## country_Pakistan .
## country_Palestinian Territories .
## country_Panama .
## country_Paraguay .
## country_Peru .
## country_Philippines .
## country_Poland .
## country_Portugal .
## country_Qatar .
## country_Romania .
## country_Russia .
## country_Rwanda .
## country_Saint Lucia .
## country_Saint Vincent and the Grenadines .
## country_San Marino .
## country_Saudi Arabia .
## country_Senegal .
## country_Serbia .
## country_Singapore .
## country_Sint Maarten .
## country_Slovakia .
## country_Slovenia .
## country_Solomon Islands .
## country_South Africa .
## country_South Korea .
## country_South Sudan .
## country_Spain .
## country_Sri Lanka .
## country_Swaziland .
## country_Sweden .
## country_Switzerland .
## country_Syria .
## country_Taiwan .
## country_Tanzania .
## country_Thailand .
## country_Trinidad and Tobago .
## country_Tunisia .
## country_Turkey .
## country_Turkmenistan .
## country_Tuvalu .
## country_Uganda .
## country_Ukraine .
## country_United Arab Emirates .
## country_United Kingdom .
## country_United States of America .
## country_Uruguay .
## country_Uzbekistan .
## country_Venezuela .
## country_Vietnam .
## country_Zimbabwe .
## relationship_status_Long-term .
## relationship_status_No relationship .
## relationship_status_Short-term .
## relationship_length 0.9637 Balanced, <2
##
## Balance tally for variance ratios
## count
## Balanced, <2 3
## Not Balanced, >2 0
##
## Variable with the greatest variance ratio
## Variable V.Ratio.Adj V.Threshold
## age 0.9376 Balanced, <2
##
## Sample sizes
## Control Treated
## All 46746 390
## Matched 390 390
## Unmatched 46356 0All variables balanced.
Visualize
# Q-Q plot
plot(nnm, type = "qq", interactive = FALSE, which.xs = c("age", "relationship_length"))
# looks better after matching
# Jitter plot
plot(nnm, type = "jitter", interactive = FALSE)
# with cobalt package:
# distributional density/histogram
bal.plot(nnm, var.name = "age", which = "both", grid = T)
bal.plot(nnm, var.name = "relationship_length", which = "both", grid = T)
bal.plot(nnm, var.name = "relationship_status", which = "both", grid = T)
bal.plot(nnm, var.name = "language", which = "both", grid = T)
bal.plot(nnm, var.name = "country", which = "both", grid = T) # not readable
love.plot(bal.tab(nnm, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
# not readable due to country variable
# remove country variable for love plot
nnm_without_country = nnm
nnm_without_country$X[c("country")] <- NULL
love.plot(bal.tab(nnm_without_country, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
## love plot using alternate variable names
# Using alternate variable names
v <- data.frame(old = c("distance", "language_chinese", "language_japanese", "language_german","language_english", "language_italian", "language_danish", "language_spanish", "language_russian", "language_portuguese", "language_french", "age", "relationship_status_Long-term", "relationship_status_No relationship", "relationship_status_Short-term",
"relationship_length"),
new = c("Propensity scores", "Chinese", "Japanese", "German", "English", "Italian", "Danish", "Spanish", "Russian", "Portuguese", "French", "Long-term relationship", "No relationship", "Dating/Sexual Relationship","Age", "Relationship length"))
love.plot(bal.tab(nnm_without_country, m.threshold = 0.1, binary = "std"),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F,
sample.names = c("Before Matching", "After Matching"),
var.names = v) 
Matching with nearest-neighbor-algorithm with caliper = 0.25*sd
nnm_25 <- matchit(sexual_orientation ~ language + age + country + relationship_status + relationship_length, method = "nearest", caliper = 0.25, data = data_main_nomiss)
nnm_25_data <- match.data(nnm_25)
nrow(nnm_25_data) # 778 observations## [1] 778table(nnm_25_data$subclass) # data includes only pairs of two observations##
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 381 382 383 384 385 386 387 388 389
## 2 2 2 2 2 2 2 2 2dim(nnm_25_data) # 778 observations and 16 variables## [1] 778 171 asexual unmatched.
Check balance
summary_nnm_25 = summary(nnm_25, standardize = T)
print(summary_nnm_25)##
## Call:
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "nearest", caliper = 0.25)
##
## Summary of Balance for All Data:
## Means Treated Means Control
## distance 0.0302 0.0081
## languagechinese 0.0000 0.0058
## languagedanish 0.0154 0.0285
## languageenglish 0.4974 0.2273
## languagefrench 0.0641 0.1953
## languagegerman 0.1538 0.1392
## languageitalian 0.0385 0.0629
## languagejapanese 0.0308 0.0240
## languageportuguese 0.0487 0.0727
## languagerussian 0.0179 0.0164
## languagespanish 0.1333 0.2279
## age 23.9410 25.1973
## countryAfghanistan 0.0000 0.0001
## countryAlbania 0.0000 0.0001
## countryAlgeria 0.0026 0.0003
## countryAndorra 0.0000 0.0004
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0001
## countryArgentina 0.0231 0.0172
## countryArmenia 0.0000 0.0001
## countryAruba 0.0000 0.0000
## countryAustralia 0.0333 0.0108
## countryAustria 0.0128 0.0127
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0001
## countryBahrain 0.0000 0.0001
## countryBangladesh 0.0000 0.0000
## countryBarbados 0.0000 0.0001
## countryBelarus 0.0000 0.0010
## countryBelgium 0.0000 0.0091
## countryBelize 0.0000 0.0001
## countryBenin 0.0000 0.0001
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0013
## countryBosnia and Herzegovina 0.0000 0.0003
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0513 0.0684
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0006
## countryBurkina Faso 0.0000 0.0001
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0002
## countryCanada 0.0513 0.0292
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0128 0.0113
## countryChina 0.0000 0.0055
## countryColombia 0.0128 0.0260
## countryCosta Rica 0.0026 0.0036
## countryCote d'Ivoire 0.0000 0.0002
## countryCroatia 0.0000 0.0004
## countryCuba 0.0000 0.0001
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0001
## countryCzechia 0.0077 0.0008
## countryDenmark 0.0154 0.0292
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0001
## countryDominican Republic 0.0026 0.0023
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0061
## countryEgypt 0.0000 0.0001
## countryEl Salvador 0.0000 0.0020
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0006
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0001
## countryFinland 0.0051 0.0016
## countryFrance 0.0436 0.1635
## countryGabon 0.0000 0.0001
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0002
## countryGermany 0.1282 0.1198
## countryGhana 0.0000 0.0001
## countryGreece 0.0000 0.0005
## countryGrenada 0.0000 0.0001
## countryGuatemala 0.0051 0.0033
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0002
## countryHaiti 0.0000 0.0001
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0009
## countryHong Kong 0.0000 0.0007
## countryHungary 0.0000 0.0008
## countryIceland 0.0000 0.0004
## countryIndia 0.0000 0.0023
## countryIndonesia 0.0000 0.0009
## countryIran 0.0026 0.0004
## countryIraq 0.0000 0.0001
## countryIreland 0.0026 0.0038
## countryIsrael 0.0026 0.0010
## countryItaly 0.0410 0.0615
## countryJamaica 0.0000 0.0003
## countryJapan 0.0359 0.0243
## countryJordan 0.0000 0.0001
## countryKazakhstan 0.0000 0.0004
## countryKenya 0.0026 0.0004
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0001
## countryLatvia 0.0000 0.0004
## countryLebanon 0.0000 0.0002
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0006
## countryLuxembourg 0.0000 0.0010
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0001
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0013
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0002
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0001
## countryMexico 0.0564 0.0911
## countryMoldova 0.0000 0.0001
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0008
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0001
## countryNetherlands 0.0051 0.0035
## countryNew Zealand 0.0077 0.0036
## countryNicaragua 0.0026 0.0007
## countryNigeria 0.0000 0.0005
## countryNorway 0.0000 0.0010
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0003
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0000 0.0015
## countryParaguay 0.0000 0.0008
## countryPeru 0.0000 0.0089
## countryPhilippines 0.0051 0.0019
## countryPoland 0.0000 0.0006
## countryPortugal 0.0000 0.0052
## countryQatar 0.0000 0.0002
## countryRomania 0.0000 0.0014
## countryRussia 0.0179 0.0126
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0001
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0002
## countrySenegal 0.0000 0.0003
## countrySerbia 0.0000 0.0004
## countrySingapore 0.0026 0.0017
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0003
## countrySlovenia 0.0000 0.0003
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0026 0.0026
## countrySouth Korea 0.0000 0.0003
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0256 0.0438
## countrySri Lanka 0.0000 0.0001
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0025
## countrySwitzerland 0.0205 0.0205
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0003
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0003
## countryTrinidad and Tobago 0.0000 0.0003
## countryTunisia 0.0000 0.0003
## countryTurkey 0.0000 0.0006
## countryTurkmenistan 0.0000 0.0001
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0001
## countryUkraine 0.0026 0.0017
## countryUnited Arab Emirates 0.0000 0.0007
## countryUnited Kingdom 0.0564 0.0416
## countryUnited States of America 0.2897 0.1047
## countryUruguay 0.0026 0.0022
## countryUzbekistan 0.0000 0.0000
## countryVenezuela 0.0000 0.0047
## countryVietnam 0.0000 0.0002
## countryZimbabwe 0.0000 0.0001
## relationship_statusLong-term 0.2564 0.6305
## relationship_statusNo relationship 0.6897 0.2321
## relationship_statusShort-term 0.0538 0.1373
## relationship_length 1.1564 2.3230
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance 0.7498 4.8204 0.3136
## languagechinese -0.0767 . 0.0058
## languagedanish -0.1062 . 0.0131
## languageenglish 0.5402 . 0.2701
## languagefrench -0.5356 . 0.1312
## languagegerman 0.0406 . 0.0146
## languageitalian -0.1272 . 0.0245
## languagejapanese 0.0392 . 0.0068
## languageportuguese -0.1115 . 0.0240
## languagerussian 0.0116 . 0.0015
## languagespanish -0.2782 . 0.0946
## age -0.1964 0.7691 0.0262
## countryAfghanistan -0.0080 . 0.0001
## countryAlbania -0.0093 . 0.0001
## countryAlgeria 0.0444 . 0.0022
## countryAndorra -0.0192 . 0.0004
## countryAngola -0.0066 . 0.0000
## countryAntigua and Barbuda -0.0093 . 0.0001
## countryArgentina 0.0391 . 0.0059
## countryArmenia -0.0093 . 0.0001
## countryAruba -0.0066 . 0.0000
## countryAustralia 0.1256 . 0.0226
## countryAustria 0.0014 . 0.0002
## countryAzerbaijan -0.0046 . 0.0000
## countryBahamas, The -0.0104 . 0.0001
## countryBahrain -0.0080 . 0.0001
## countryBangladesh -0.0046 . 0.0000
## countryBarbados -0.0093 . 0.0001
## countryBelarus -0.0312 . 0.0010
## countryBelgium -0.0964 . 0.0091
## countryBelize -0.0080 . 0.0001
## countryBenin -0.0080 . 0.0001
## countryBhutan -0.0046 . 0.0000
## countryBolivia -0.0360 . 0.0013
## countryBosnia and Herzegovina -0.0161 . 0.0003
## countryBotswana -0.0046 . 0.0000
## countryBrazil -0.0778 . 0.0172
## countryBrunei -0.0046 . 0.0000
## countryBulgaria -0.0254 . 0.0006
## countryBurkina Faso -0.0080 . 0.0001
## countryBurma -0.0066 . 0.0000
## countryCabo Verde -0.0046 . 0.0000
## countryCambodia -0.0046 . 0.0000
## countryCameroon -0.0147 . 0.0002
## countryCanada 0.1002 . 0.0221
## countryCentral African Republic -0.0066 . 0.0000
## countryChile 0.0137 . 0.0015
## countryChina -0.0748 . 0.0055
## countryColombia -0.1173 . 0.0132
## countryCosta Rica -0.0204 . 0.0010
## countryCote d'Ivoire -0.0131 . 0.0002
## countryCroatia -0.0208 . 0.0004
## countryCuba -0.0114 . 0.0001
## countryCuracao -0.0046 . 0.0000
## countryCyprus -0.0080 . 0.0001
## countryCzechia 0.0792 . 0.0069
## countryDenmark -0.1124 . 0.0138
## countryDjibouti -0.0046 . 0.0000
## countryDominica -0.0080 . 0.0001
## countryDominican Republic 0.0059 . 0.0003
## countryEast Timor (see Timor-Leste) -0.0046 . 0.0000
## countryEcuador -0.0789 . 0.0061
## countryEgypt -0.0114 . 0.0001
## countryEl Salvador -0.0446 . 0.0020
## countryEquatorial Guinea -0.0046 . 0.0000
## countryEstonia -0.0250 . 0.0006
## countryEthiopia -0.0046 . 0.0000
## countryFiji -0.0093 . 0.0001
## countryFinland 0.0490 . 0.0035
## countryFrance -0.5874 . 0.1199
## countryGabon -0.0093 . 0.0001
## countryGambia, The -0.0046 . 0.0000
## countryGeorgia -0.0131 . 0.0002
## countryGermany 0.0252 . 0.0084
## countryGhana -0.0104 . 0.0001
## countryGreece -0.0232 . 0.0005
## countryGrenada -0.0114 . 0.0001
## countryGuatemala 0.0251 . 0.0018
## countryGuinea -0.0046 . 0.0000
## countryGuyana -0.0154 . 0.0002
## countryHaiti -0.0123 . 0.0001
## countryHoly See -0.0066 . 0.0000
## countryHonduras -0.0308 . 0.0009
## countryHong Kong -0.0271 . 0.0007
## countryHungary -0.0279 . 0.0008
## countryIceland -0.0197 . 0.0004
## countryIndia -0.0479 . 0.0023
## countryIndonesia -0.0308 . 0.0009
## countryIran 0.0418 . 0.0021
## countryIraq -0.0080 . 0.0001
## countryIreland -0.0237 . 0.0012
## countryIsrael 0.0312 . 0.0016
## countryItaly -0.1030 . 0.0204
## countryJamaica -0.0186 . 0.0003
## countryJapan 0.0622 . 0.0116
## countryJordan -0.0080 . 0.0001
## countryKazakhstan -0.0208 . 0.0004
## countryKenya 0.0431 . 0.0022
## countryKosovo -0.0046 . 0.0000
## countryKuwait -0.0066 . 0.0000
## countryKyrgyzstan -0.0080 . 0.0001
## countryLatvia -0.0213 . 0.0004
## countryLebanon -0.0139 . 0.0002
## countryLiberia -0.0046 . 0.0000
## countryLibya -0.0066 . 0.0000
## countryLiechtenstein -0.0066 . 0.0000
## countryLithuania -0.0237 . 0.0006
## countryLuxembourg -0.0325 . 0.0010
## countryMacau -0.0066 . 0.0000
## countryMacedonia -0.0046 . 0.0000
## countryMadagascar -0.0114 . 0.0001
## countryMalawi -0.0046 . 0.0000
## countryMalaysia -0.0363 . 0.0013
## countryMaldives -0.0066 . 0.0000
## countryMali -0.0066 . 0.0000
## countryMalta -0.0139 . 0.0002
## countryMarshall Islands -0.0046 . 0.0000
## countryMauritania -0.0046 . 0.0000
## countryMauritius -0.0114 . 0.0001
## countryMexico -0.1505 . 0.0347
## countryMoldova -0.0080 . 0.0001
## countryMonaco -0.0066 . 0.0000
## countryMontenegro -0.0046 . 0.0000
## countryMorocco -0.0286 . 0.0008
## countryMozambique -0.0046 . 0.0000
## countryNamibia -0.0114 . 0.0001
## countryNetherlands 0.0227 . 0.0016
## countryNew Zealand 0.0474 . 0.0041
## countryNicaragua 0.0367 . 0.0019
## countryNigeria -0.0218 . 0.0005
## countryNorway -0.0325 . 0.0010
## countryOman -0.0066 . 0.0000
## countryPakistan 0.0452 . 0.0023
## countryPalestinian Territories -0.0046 . 0.0000
## countryPanama -0.0394 . 0.0015
## countryParaguay -0.0286 . 0.0008
## countryPeru -0.0949 . 0.0089
## countryPhilippines 0.0451 . 0.0032
## countryPoland -0.0254 . 0.0006
## countryPortugal -0.0727 . 0.0052
## countryQatar -0.0131 . 0.0002
## countryRomania -0.0380 . 0.0014
## countryRussia 0.0406 . 0.0054
## countryRwanda -0.0046 . 0.0000
## countrySaint Lucia -0.0093 . 0.0001
## countrySaint Vincent and the Grenadines -0.0046 . 0.0000
## countrySan Marino -0.0046 . 0.0000
## countrySaudi Arabia -0.0147 . 0.0002
## countrySenegal -0.0167 . 0.0003
## countrySerbia -0.0192 . 0.0004
## countrySingapore 0.0177 . 0.0009
## countrySint Maarten -0.0066 . 0.0000
## countrySlovakia -0.0167 . 0.0003
## countrySlovenia -0.0186 . 0.0003
## countrySolomon Islands -0.0046 . 0.0000
## countrySouth Africa -0.0009 . 0.0000
## countrySouth Korea -0.0174 . 0.0003
## countrySouth Sudan -0.0046 . 0.0000
## countrySpain -0.1151 . 0.0182
## countrySri Lanka -0.0104 . 0.0001
## countrySwaziland -0.0046 . 0.0000
## countrySweden 0.0012 . 0.0001
## countrySwitzerland -0.0000 . 0.0000
## countrySyria -0.0046 . 0.0000
## countryTaiwan -0.0186 . 0.0003
## countryTanzania -0.0066 . 0.0000
## countryThailand -0.0186 . 0.0003
## countryTrinidad and Tobago -0.0186 . 0.0003
## countryTunisia -0.0180 . 0.0003
## countryTurkey -0.0254 . 0.0006
## countryTurkmenistan -0.0104 . 0.0001
## countryTuvalu -0.0046 . 0.0000
## countryUganda -0.0093 . 0.0001
## countryUkraine 0.0177 . 0.0009
## countryUnited Arab Emirates -0.0271 . 0.0007
## countryUnited Kingdom 0.0643 . 0.0148
## countryUnited States of America 0.4080 . 0.1851
## countryUruguay 0.0076 . 0.0004
## countryUzbekistan -0.0046 . 0.0000
## countryVenezuela -0.0694 . 0.0047
## countryVietnam -0.0154 . 0.0002
## countryZimbabwe -0.0093 . 0.0001
## relationship_statusLong-term -0.8568 . 0.3741
## relationship_statusNo relationship 0.9892 . 0.4576
## relationship_statusShort-term -0.3698 . 0.0835
## relationship_length -0.3515 0.5841 0.0242
## eCDF Max
## distance 0.5290
## languagechinese 0.0058
## languagedanish 0.0131
## languageenglish 0.2701
## languagefrench 0.1312
## languagegerman 0.0146
## languageitalian 0.0245
## languagejapanese 0.0068
## languageportuguese 0.0240
## languagerussian 0.0015
## languagespanish 0.0946
## age 0.0877
## countryAfghanistan 0.0001
## countryAlbania 0.0001
## countryAlgeria 0.0022
## countryAndorra 0.0004
## countryAngola 0.0000
## countryAntigua and Barbuda 0.0001
## countryArgentina 0.0059
## countryArmenia 0.0001
## countryAruba 0.0000
## countryAustralia 0.0226
## countryAustria 0.0002
## countryAzerbaijan 0.0000
## countryBahamas, The 0.0001
## countryBahrain 0.0001
## countryBangladesh 0.0000
## countryBarbados 0.0001
## countryBelarus 0.0010
## countryBelgium 0.0091
## countryBelize 0.0001
## countryBenin 0.0001
## countryBhutan 0.0000
## countryBolivia 0.0013
## countryBosnia and Herzegovina 0.0003
## countryBotswana 0.0000
## countryBrazil 0.0172
## countryBrunei 0.0000
## countryBulgaria 0.0006
## countryBurkina Faso 0.0001
## countryBurma 0.0000
## countryCabo Verde 0.0000
## countryCambodia 0.0000
## countryCameroon 0.0002
## countryCanada 0.0221
## countryCentral African Republic 0.0000
## countryChile 0.0015
## countryChina 0.0055
## countryColombia 0.0132
## countryCosta Rica 0.0010
## countryCote d'Ivoire 0.0002
## countryCroatia 0.0004
## countryCuba 0.0001
## countryCuracao 0.0000
## countryCyprus 0.0001
## countryCzechia 0.0069
## countryDenmark 0.0138
## countryDjibouti 0.0000
## countryDominica 0.0001
## countryDominican Republic 0.0003
## countryEast Timor (see Timor-Leste) 0.0000
## countryEcuador 0.0061
## countryEgypt 0.0001
## countryEl Salvador 0.0020
## countryEquatorial Guinea 0.0000
## countryEstonia 0.0006
## countryEthiopia 0.0000
## countryFiji 0.0001
## countryFinland 0.0035
## countryFrance 0.1199
## countryGabon 0.0001
## countryGambia, The 0.0000
## countryGeorgia 0.0002
## countryGermany 0.0084
## countryGhana 0.0001
## countryGreece 0.0005
## countryGrenada 0.0001
## countryGuatemala 0.0018
## countryGuinea 0.0000
## countryGuyana 0.0002
## countryHaiti 0.0001
## countryHoly See 0.0000
## countryHonduras 0.0009
## countryHong Kong 0.0007
## countryHungary 0.0008
## countryIceland 0.0004
## countryIndia 0.0023
## countryIndonesia 0.0009
## countryIran 0.0021
## countryIraq 0.0001
## countryIreland 0.0012
## countryIsrael 0.0016
## countryItaly 0.0204
## countryJamaica 0.0003
## countryJapan 0.0116
## countryJordan 0.0001
## countryKazakhstan 0.0004
## countryKenya 0.0022
## countryKosovo 0.0000
## countryKuwait 0.0000
## countryKyrgyzstan 0.0001
## countryLatvia 0.0004
## countryLebanon 0.0002
## countryLiberia 0.0000
## countryLibya 0.0000
## countryLiechtenstein 0.0000
## countryLithuania 0.0006
## countryLuxembourg 0.0010
## countryMacau 0.0000
## countryMacedonia 0.0000
## countryMadagascar 0.0001
## countryMalawi 0.0000
## countryMalaysia 0.0013
## countryMaldives 0.0000
## countryMali 0.0000
## countryMalta 0.0002
## countryMarshall Islands 0.0000
## countryMauritania 0.0000
## countryMauritius 0.0001
## countryMexico 0.0347
## countryMoldova 0.0001
## countryMonaco 0.0000
## countryMontenegro 0.0000
## countryMorocco 0.0008
## countryMozambique 0.0000
## countryNamibia 0.0001
## countryNetherlands 0.0016
## countryNew Zealand 0.0041
## countryNicaragua 0.0019
## countryNigeria 0.0005
## countryNorway 0.0010
## countryOman 0.0000
## countryPakistan 0.0023
## countryPalestinian Territories 0.0000
## countryPanama 0.0015
## countryParaguay 0.0008
## countryPeru 0.0089
## countryPhilippines 0.0032
## countryPoland 0.0006
## countryPortugal 0.0052
## countryQatar 0.0002
## countryRomania 0.0014
## countryRussia 0.0054
## countryRwanda 0.0000
## countrySaint Lucia 0.0001
## countrySaint Vincent and the Grenadines 0.0000
## countrySan Marino 0.0000
## countrySaudi Arabia 0.0002
## countrySenegal 0.0003
## countrySerbia 0.0004
## countrySingapore 0.0009
## countrySint Maarten 0.0000
## countrySlovakia 0.0003
## countrySlovenia 0.0003
## countrySolomon Islands 0.0000
## countrySouth Africa 0.0000
## countrySouth Korea 0.0003
## countrySouth Sudan 0.0000
## countrySpain 0.0182
## countrySri Lanka 0.0001
## countrySwaziland 0.0000
## countrySweden 0.0001
## countrySwitzerland 0.0000
## countrySyria 0.0000
## countryTaiwan 0.0003
## countryTanzania 0.0000
## countryThailand 0.0003
## countryTrinidad and Tobago 0.0003
## countryTunisia 0.0003
## countryTurkey 0.0006
## countryTurkmenistan 0.0001
## countryTuvalu 0.0000
## countryUganda 0.0001
## countryUkraine 0.0009
## countryUnited Arab Emirates 0.0007
## countryUnited Kingdom 0.0148
## countryUnited States of America 0.1851
## countryUruguay 0.0004
## countryUzbekistan 0.0000
## countryVenezuela 0.0047
## countryVietnam 0.0002
## countryZimbabwe 0.0001
## relationship_statusLong-term 0.3741
## relationship_statusNo relationship 0.4576
## relationship_statusShort-term 0.0835
## relationship_length 0.2738
##
##
## Summary of Balance for Matched Data:
## Means Treated Means Control
## distance 0.0297 0.0297
## languagechinese 0.0000 0.0000
## languagedanish 0.0154 0.0154
## languageenglish 0.4961 0.4910
## languagefrench 0.0643 0.0668
## languagegerman 0.1542 0.1542
## languageitalian 0.0386 0.0411
## languagejapanese 0.0308 0.0308
## languageportuguese 0.0488 0.0488
## languagerussian 0.0180 0.0180
## languagespanish 0.1337 0.1337
## age 23.9409 24.1054
## countryAfghanistan 0.0000 0.0000
## countryAlbania 0.0000 0.0000
## countryAlgeria 0.0000 0.0000
## countryAndorra 0.0000 0.0000
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0000
## countryArgentina 0.0231 0.0231
## countryArmenia 0.0000 0.0000
## countryAruba 0.0000 0.0000
## countryAustralia 0.0334 0.0334
## countryAustria 0.0129 0.0154
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0000
## countryBahrain 0.0000 0.0000
## countryBangladesh 0.0000 0.0000
## countryBarbados 0.0000 0.0000
## countryBelarus 0.0000 0.0000
## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0000
## countryBosnia and Herzegovina 0.0000 0.0000
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0514 0.0488
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0000
## countryBurkina Faso 0.0000 0.0000
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0000
## countryCanada 0.0514 0.0668
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0129 0.0154
## countryChina 0.0000 0.0000
## countryColombia 0.0129 0.0129
## countryCosta Rica 0.0026 0.0026
## countryCote d'Ivoire 0.0000 0.0000
## countryCroatia 0.0000 0.0000
## countryCuba 0.0000 0.0000
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0000
## countryCzechia 0.0077 0.0077
## countryDenmark 0.0154 0.0154
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0000
## countryDominican Republic 0.0026 0.0000
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0000
## countryEgypt 0.0000 0.0000
## countryEl Salvador 0.0000 0.0000
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0000
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0000
## countryFinland 0.0051 0.0051
## countryFrance 0.0437 0.0437
## countryGabon 0.0000 0.0000
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0000
## countryGermany 0.1285 0.1285
## countryGhana 0.0000 0.0000
## countryGreece 0.0000 0.0000
## countryGrenada 0.0000 0.0000
## countryGuatemala 0.0051 0.0026
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0000
## countryHaiti 0.0000 0.0000
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0000
## countryHong Kong 0.0000 0.0000
## countryHungary 0.0000 0.0000
## countryIceland 0.0000 0.0000
## countryIndia 0.0000 0.0000
## countryIndonesia 0.0000 0.0000
## countryIran 0.0026 0.0000
## countryIraq 0.0000 0.0000
## countryIreland 0.0026 0.0000
## countryIsrael 0.0026 0.0000
## countryItaly 0.0411 0.0463
## countryJamaica 0.0000 0.0000
## countryJapan 0.0360 0.0334
## countryJordan 0.0000 0.0000
## countryKazakhstan 0.0000 0.0000
## countryKenya 0.0026 0.0026
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0000
## countryLatvia 0.0000 0.0000
## countryLebanon 0.0000 0.0000
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0000
## countryLuxembourg 0.0000 0.0000
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## countryMalaysia 0.0000 0.0000
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0000
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## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0000
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## countryMoldova 0.0000 0.0000
## countryMonaco 0.0000 0.0000
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## countryMorocco 0.0000 0.0000
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## countryNamibia 0.0000 0.0000
## countryNetherlands 0.0051 0.0026
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## countryNicaragua 0.0026 0.0000
## countryNigeria 0.0000 0.0000
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## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0000
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## countryPeru 0.0000 0.0000
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## countryPoland 0.0000 0.0000
## countryPortugal 0.0000 0.0000
## countryQatar 0.0000 0.0000
## countryRomania 0.0000 0.0000
## countryRussia 0.0180 0.0180
## countryRwanda 0.0000 0.0000
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## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0000
## countrySenegal 0.0000 0.0000
## countrySerbia 0.0000 0.0000
## countrySingapore 0.0026 0.0026
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0000
## countrySlovenia 0.0000 0.0000
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0026 0.0026
## countrySouth Korea 0.0000 0.0000
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0257 0.0231
## countrySri Lanka 0.0000 0.0000
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0051
## countrySwitzerland 0.0206 0.0180
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0000
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0000
## countryTrinidad and Tobago 0.0000 0.0000
## countryTunisia 0.0000 0.0000
## countryTurkey 0.0000 0.0000
## countryTurkmenistan 0.0000 0.0000
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0000
## countryUkraine 0.0026 0.0026
## countryUnited Arab Emirates 0.0000 0.0000
## countryUnited Kingdom 0.0566 0.0566
## countryUnited States of America 0.2905 0.2982
## countryUruguay 0.0026 0.0026
## countryUzbekistan 0.0000 0.0000
## countryVenezuela 0.0000 0.0000
## countryVietnam 0.0000 0.0000
## countryZimbabwe 0.0000 0.0000
## relationship_statusLong-term 0.2571 0.2468
## relationship_statusNo relationship 0.6889 0.6967
## relationship_statusShort-term 0.0540 0.0566
## relationship_length 1.1594 1.1877
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance -0.0001 0.9993 0.0000
## languagechinese 0.0000 . 0.0000
## languagedanish 0.0000 . 0.0000
## languageenglish 0.0103 . 0.0051
## languagefrench -0.0105 . 0.0026
## languagegerman 0.0000 . 0.0000
## languageitalian -0.0134 . 0.0026
## languagejapanese 0.0000 . 0.0000
## languageportuguese 0.0000 . 0.0000
## languagerussian 0.0000 . 0.0000
## languagespanish 0.0000 . 0.0000
## age -0.0257 0.9389 0.0040
## countryAfghanistan 0.0000 . 0.0000
## countryAlbania 0.0000 . 0.0000
## countryAlgeria 0.0000 . 0.0000
## countryAndorra 0.0000 . 0.0000
## countryAngola 0.0000 . 0.0000
## countryAntigua and Barbuda 0.0000 . 0.0000
## countryArgentina 0.0000 . 0.0000
## countryArmenia 0.0000 . 0.0000
## countryAruba 0.0000 . 0.0000
## countryAustralia 0.0000 . 0.0000
## countryAustria -0.0229 . 0.0026
## countryAzerbaijan 0.0000 . 0.0000
## countryBahamas, The 0.0000 . 0.0000
## countryBahrain 0.0000 . 0.0000
## countryBangladesh 0.0000 . 0.0000
## countryBarbados 0.0000 . 0.0000
## countryBelarus 0.0000 . 0.0000
## countryBelgium 0.0000 . 0.0000
## countryBelize 0.0000 . 0.0000
## countryBenin 0.0000 . 0.0000
## countryBhutan 0.0000 . 0.0000
## countryBolivia 0.0000 . 0.0000
## countryBosnia and Herzegovina 0.0000 . 0.0000
## countryBotswana 0.0000 . 0.0000
## countryBrazil 0.0117 . 0.0026
## countryBrunei 0.0000 . 0.0000
## countryBulgaria 0.0000 . 0.0000
## countryBurkina Faso 0.0000 . 0.0000
## countryBurma 0.0000 . 0.0000
## countryCabo Verde 0.0000 . 0.0000
## countryCambodia 0.0000 . 0.0000
## countryCameroon 0.0000 . 0.0000
## countryCanada -0.0699 . 0.0154
## countryCentral African Republic 0.0000 . 0.0000
## countryChile -0.0229 . 0.0026
## countryChina 0.0000 . 0.0000
## countryColombia 0.0000 . 0.0000
## countryCosta Rica 0.0000 . 0.0000
## countryCote d'Ivoire 0.0000 . 0.0000
## countryCroatia 0.0000 . 0.0000
## countryCuba 0.0000 . 0.0000
## countryCuracao 0.0000 . 0.0000
## countryCyprus 0.0000 . 0.0000
## countryCzechia 0.0000 . 0.0000
## countryDenmark 0.0000 . 0.0000
## countryDjibouti 0.0000 . 0.0000
## countryDominica 0.0000 . 0.0000
## countryDominican Republic 0.0508 . 0.0026
## countryEast Timor (see Timor-Leste) 0.0000 . 0.0000
## countryEcuador 0.0000 . 0.0000
## countryEgypt 0.0000 . 0.0000
## countryEl Salvador 0.0000 . 0.0000
## countryEquatorial Guinea 0.0000 . 0.0000
## countryEstonia 0.0000 . 0.0000
## countryEthiopia 0.0000 . 0.0000
## countryFiji 0.0000 . 0.0000
## countryFinland 0.0000 . 0.0000
## countryFrance 0.0000 . 0.0000
## countryGabon 0.0000 . 0.0000
## countryGambia, The 0.0000 . 0.0000
## countryGeorgia 0.0000 . 0.0000
## countryGermany 0.0000 . 0.0000
## countryGhana 0.0000 . 0.0000
## countryGreece 0.0000 . 0.0000
## countryGrenada 0.0000 . 0.0000
## countryGuatemala 0.0360 . 0.0026
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## countryGuyana 0.0000 . 0.0000
## countryHaiti 0.0000 . 0.0000
## countryHoly See 0.0000 . 0.0000
## countryHonduras 0.0000 . 0.0000
## countryHong Kong 0.0000 . 0.0000
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## countryIceland 0.0000 . 0.0000
## countryIndia 0.0000 . 0.0000
## countryIndonesia 0.0000 . 0.0000
## countryIran 0.0508 . 0.0026
## countryIraq 0.0000 . 0.0000
## countryIreland 0.0508 . 0.0026
## countryIsrael 0.0508 . 0.0026
## countryItaly -0.0259 . 0.0051
## countryJamaica 0.0000 . 0.0000
## countryJapan 0.0138 . 0.0026
## countryJordan 0.0000 . 0.0000
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## countryKuwait 0.0000 . 0.0000
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## countryMauritania 0.0000 . 0.0000
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## countryMontenegro 0.0000 . 0.0000
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## countryMozambique 0.0000 . 0.0000
## countryNamibia 0.0000 . 0.0000
## countryNetherlands 0.0360 . 0.0026
## countryNew Zealand 0.0294 . 0.0026
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## countryOman 0.0000 . 0.0000
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## countryPortugal 0.0000 . 0.0000
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## countrySerbia 0.0000 . 0.0000
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## countrySint Maarten 0.0000 . 0.0000
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## countrySlovenia 0.0000 . 0.0000
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## countrySouth Africa 0.0000 . 0.0000
## countrySouth Korea 0.0000 . 0.0000
## countrySouth Sudan 0.0000 . 0.0000
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## countrySri Lanka 0.0000 . 0.0000
## countrySwaziland 0.0000 . 0.0000
## countrySweden -0.0508 . 0.0026
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## countrySyria 0.0000 . 0.0000
## countryTaiwan 0.0000 . 0.0000
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## countryThailand 0.0000 . 0.0000
## countryTrinidad and Tobago 0.0000 . 0.0000
## countryTunisia 0.0000 . 0.0000
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## countryTuvalu 0.0000 . 0.0000
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## countryUnited Arab Emirates 0.0000 . 0.0000
## countryUnited Kingdom 0.0000 . 0.0000
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## countryVietnam 0.0000 . 0.0000
## countryZimbabwe 0.0000 . 0.0000
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## relationship_statusShort-term -0.0114 . 0.0026
## relationship_length -0.0085 0.9637 0.0014
## eCDF Max Std. Pair Dist.
## distance 0.0026 0.0006
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## languagedanish 0.0000 0.0000
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## languagefrench 0.0026 0.0525
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## languageitalian 0.0026 0.0401
## languagejapanese 0.0000 0.0000
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## languagespanish 0.0000 0.0051
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## countryAustralia 0.0000 0.0051
## countryAustria 0.0026 0.0229
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## countryBahrain 0.0000 0.0000
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## countryNamibia 0.0000 0.0000
## countryNetherlands 0.0026 0.0360
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## relationship_statusLong-term 0.0103 0.0471
## relationship_statusNo relationship 0.0077 0.0389
## relationship_statusShort-term 0.0026 0.0114
## relationship_length 0.0077 0.1108
##
## Sample Sizes:
## Control Treated
## All 46746 390
## Matched 389 389
## Unmatched 46357 1
## Discarded 0 0bal.tab(nnm_25, m.threshold = 0.1, un = T, binary = "std") #smd## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "nearest", caliper = 0.25)
##
## Balance Measures
## Type Diff.Un Diff.Adj
## distance Distance 0.7498 -0.0001
## language_chinese Binary -0.0767 0.0000
## language_danish Binary -0.1062 0.0000
## language_english Binary 0.5402 0.0103
## language_french Binary -0.5356 -0.0105
## language_german Binary 0.0406 0.0000
## language_italian Binary -0.1272 -0.0134
## language_japanese Binary 0.0392 0.0000
## language_portuguese Binary -0.1115 0.0000
## language_russian Binary 0.0116 0.0000
## language_spanish Binary -0.2782 0.0000
## age Contin. -0.1964 -0.0257
## country_Afghanistan Binary -0.0080 0.0000
## country_Albania Binary -0.0093 0.0000
## country_Algeria Binary 0.0444 0.0000
## country_Andorra Binary -0.0192 0.0000
## country_Angola Binary -0.0066 0.0000
## country_Antigua and Barbuda Binary -0.0093 0.0000
## country_Argentina Binary 0.0391 0.0000
## country_Armenia Binary -0.0093 0.0000
## country_Aruba Binary -0.0066 0.0000
## country_Australia Binary 0.1256 0.0000
## country_Austria Binary 0.0014 -0.0229
## country_Azerbaijan Binary -0.0046 0.0000
## country_Bahamas, The Binary -0.0104 0.0000
## country_Bahrain Binary -0.0080 0.0000
## country_Bangladesh Binary -0.0046 0.0000
## country_Barbados Binary -0.0093 0.0000
## country_Belarus Binary -0.0312 0.0000
## country_Belgium Binary -0.0964 0.0000
## country_Belize Binary -0.0080 0.0000
## country_Benin Binary -0.0080 0.0000
## country_Bhutan Binary -0.0046 0.0000
## country_Bolivia Binary -0.0360 0.0000
## country_Bosnia and Herzegovina Binary -0.0161 0.0000
## country_Botswana Binary -0.0046 0.0000
## country_Brazil Binary -0.0778 0.0117
## country_Brunei Binary -0.0046 0.0000
## country_Bulgaria Binary -0.0254 0.0000
## country_Burkina Faso Binary -0.0080 0.0000
## country_Burma Binary -0.0066 0.0000
## country_Cabo Verde Binary -0.0046 0.0000
## country_Cambodia Binary -0.0046 0.0000
## country_Cameroon Binary -0.0147 0.0000
## country_Canada Binary 0.1002 -0.0699
## country_Central African Republic Binary -0.0066 0.0000
## country_Chile Binary 0.0137 -0.0229
## country_China Binary -0.0748 0.0000
## country_Colombia Binary -0.1173 0.0000
## country_Costa Rica Binary -0.0204 0.0000
## country_Cote d'Ivoire Binary -0.0131 0.0000
## country_Croatia Binary -0.0208 0.0000
## country_Cuba Binary -0.0114 0.0000
## country_Curacao Binary -0.0046 0.0000
## country_Cyprus Binary -0.0080 0.0000
## country_Czechia Binary 0.0792 0.0000
## country_Denmark Binary -0.1124 0.0000
## country_Djibouti Binary -0.0046 0.0000
## country_Dominica Binary -0.0080 0.0000
## country_Dominican Republic Binary 0.0059 0.0508
## country_East Timor (see Timor-Leste) Binary -0.0046 0.0000
## country_Ecuador Binary -0.0789 0.0000
## country_Egypt Binary -0.0114 0.0000
## country_El Salvador Binary -0.0446 0.0000
## country_Equatorial Guinea Binary -0.0046 0.0000
## country_Estonia Binary -0.0250 0.0000
## country_Ethiopia Binary -0.0046 0.0000
## country_Fiji Binary -0.0093 0.0000
## country_Finland Binary 0.0490 0.0000
## country_France Binary -0.5874 0.0000
## country_Gabon Binary -0.0093 0.0000
## country_Gambia, The Binary -0.0046 0.0000
## country_Georgia Binary -0.0131 0.0000
## country_Germany Binary 0.0252 0.0000
## country_Ghana Binary -0.0104 0.0000
## country_Greece Binary -0.0232 0.0000
## country_Grenada Binary -0.0114 0.0000
## country_Guatemala Binary 0.0251 0.0360
## country_Guinea Binary -0.0046 0.0000
## country_Guyana Binary -0.0154 0.0000
## country_Haiti Binary -0.0123 0.0000
## country_Holy See Binary -0.0066 0.0000
## country_Honduras Binary -0.0308 0.0000
## country_Hong Kong Binary -0.0271 0.0000
## country_Hungary Binary -0.0279 0.0000
## country_Iceland Binary -0.0197 0.0000
## country_India Binary -0.0479 0.0000
## country_Indonesia Binary -0.0308 0.0000
## country_Iran Binary 0.0418 0.0508
## country_Iraq Binary -0.0080 0.0000
## country_Ireland Binary -0.0237 0.0508
## country_Israel Binary 0.0312 0.0508
## country_Italy Binary -0.1030 -0.0259
## country_Jamaica Binary -0.0186 0.0000
## country_Japan Binary 0.0622 0.0138
## country_Jordan Binary -0.0080 0.0000
## country_Kazakhstan Binary -0.0208 0.0000
## country_Kenya Binary 0.0431 0.0000
## country_Kosovo Binary -0.0046 0.0000
## country_Kuwait Binary -0.0066 0.0000
## country_Kyrgyzstan Binary -0.0080 0.0000
## country_Latvia Binary -0.0213 0.0000
## country_Lebanon Binary -0.0139 0.0000
## country_Liberia Binary -0.0046 0.0000
## country_Libya Binary -0.0066 0.0000
## country_Liechtenstein Binary -0.0066 0.0000
## country_Lithuania Binary -0.0237 0.0000
## country_Luxembourg Binary -0.0325 0.0000
## country_Macau Binary -0.0066 0.0000
## country_Macedonia Binary -0.0046 0.0000
## country_Madagascar Binary -0.0114 0.0000
## country_Malawi Binary -0.0046 0.0000
## country_Malaysia Binary -0.0363 0.0000
## country_Maldives Binary -0.0066 0.0000
## country_Mali Binary -0.0066 0.0000
## country_Malta Binary -0.0139 0.0000
## country_Marshall Islands Binary -0.0046 0.0000
## country_Mauritania Binary -0.0046 0.0000
## country_Mauritius Binary -0.0114 0.0000
## country_Mexico Binary -0.1505 0.0000
## country_Moldova Binary -0.0080 0.0000
## country_Monaco Binary -0.0066 0.0000
## country_Montenegro Binary -0.0046 0.0000
## country_Morocco Binary -0.0286 0.0000
## country_Mozambique Binary -0.0046 0.0000
## country_Namibia Binary -0.0114 0.0000
## country_Netherlands Binary 0.0227 0.0360
## country_New Zealand Binary 0.0474 0.0294
## country_Nicaragua Binary 0.0367 0.0508
## country_Nigeria Binary -0.0218 0.0000
## country_Norway Binary -0.0325 0.0000
## country_Oman Binary -0.0066 0.0000
## country_Pakistan Binary 0.0452 0.0508
## country_Palestinian Territories Binary -0.0046 0.0000
## country_Panama Binary -0.0394 0.0000
## country_Paraguay Binary -0.0286 0.0000
## country_Peru Binary -0.0949 0.0000
## country_Philippines Binary 0.0451 0.0360
## country_Poland Binary -0.0254 0.0000
## country_Portugal Binary -0.0727 0.0000
## country_Qatar Binary -0.0131 0.0000
## country_Romania Binary -0.0380 0.0000
## country_Russia Binary 0.0406 0.0000
## country_Rwanda Binary -0.0046 0.0000
## country_Saint Lucia Binary -0.0093 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0046 0.0000
## country_San Marino Binary -0.0046 0.0000
## country_Saudi Arabia Binary -0.0147 0.0000
## country_Senegal Binary -0.0167 0.0000
## country_Serbia Binary -0.0192 0.0000
## country_Singapore Binary 0.0177 0.0000
## country_Sint Maarten Binary -0.0066 0.0000
## country_Slovakia Binary -0.0167 0.0000
## country_Slovenia Binary -0.0186 0.0000
## country_Solomon Islands Binary -0.0046 0.0000
## country_South Africa Binary -0.0009 0.0000
## country_South Korea Binary -0.0174 0.0000
## country_South Sudan Binary -0.0046 0.0000
## country_Spain Binary -0.1151 0.0163
## country_Sri Lanka Binary -0.0104 0.0000
## country_Swaziland Binary -0.0046 0.0000
## country_Sweden Binary 0.0012 -0.0508
## country_Switzerland Binary -0.0000 0.0181
## country_Syria Binary -0.0046 0.0000
## country_Taiwan Binary -0.0186 0.0000
## country_Tanzania Binary -0.0066 0.0000
## country_Thailand Binary -0.0186 0.0000
## country_Trinidad and Tobago Binary -0.0186 0.0000
## country_Tunisia Binary -0.0180 0.0000
## country_Turkey Binary -0.0254 0.0000
## country_Turkmenistan Binary -0.0104 0.0000
## country_Tuvalu Binary -0.0046 0.0000
## country_Uganda Binary -0.0093 0.0000
## country_Ukraine Binary 0.0177 0.0000
## country_United Arab Emirates Binary -0.0271 0.0000
## country_United Kingdom Binary 0.0643 0.0000
## country_United States of America Binary 0.4080 -0.0170
## country_Uruguay Binary 0.0076 0.0000
## country_Uzbekistan Binary -0.0046 0.0000
## country_Venezuela Binary -0.0694 0.0000
## country_Vietnam Binary -0.0154 0.0000
## country_Zimbabwe Binary -0.0093 0.0000
## relationship_status_Long-term Binary -0.8568 0.0235
## relationship_status_No relationship Binary 0.9892 -0.0167
## relationship_status_Short-term Binary -0.3698 -0.0114
## relationship_length Contin. -0.3515 -0.0085
## M.Threshold
## distance Balanced, <0.1
## language_chinese Balanced, <0.1
## language_danish Balanced, <0.1
## language_english Balanced, <0.1
## language_french Balanced, <0.1
## language_german Balanced, <0.1
## language_italian Balanced, <0.1
## language_japanese Balanced, <0.1
## language_portuguese Balanced, <0.1
## language_russian Balanced, <0.1
## language_spanish Balanced, <0.1
## age Balanced, <0.1
## country_Afghanistan Balanced, <0.1
## country_Albania Balanced, <0.1
## country_Algeria Balanced, <0.1
## country_Andorra Balanced, <0.1
## country_Angola Balanced, <0.1
## country_Antigua and Barbuda Balanced, <0.1
## country_Argentina Balanced, <0.1
## country_Armenia Balanced, <0.1
## country_Aruba Balanced, <0.1
## country_Australia Balanced, <0.1
## country_Austria Balanced, <0.1
## country_Azerbaijan Balanced, <0.1
## country_Bahamas, The Balanced, <0.1
## country_Bahrain Balanced, <0.1
## country_Bangladesh Balanced, <0.1
## country_Barbados Balanced, <0.1
## country_Belarus Balanced, <0.1
## country_Belgium Balanced, <0.1
## country_Belize Balanced, <0.1
## country_Benin Balanced, <0.1
## country_Bhutan Balanced, <0.1
## country_Bolivia Balanced, <0.1
## country_Bosnia and Herzegovina Balanced, <0.1
## country_Botswana Balanced, <0.1
## country_Brazil Balanced, <0.1
## country_Brunei Balanced, <0.1
## country_Bulgaria Balanced, <0.1
## country_Burkina Faso Balanced, <0.1
## country_Burma Balanced, <0.1
## country_Cabo Verde Balanced, <0.1
## country_Cambodia Balanced, <0.1
## country_Cameroon Balanced, <0.1
## country_Canada Balanced, <0.1
## country_Central African Republic Balanced, <0.1
## country_Chile Balanced, <0.1
## country_China Balanced, <0.1
## country_Colombia Balanced, <0.1
## country_Costa Rica Balanced, <0.1
## country_Cote d'Ivoire Balanced, <0.1
## country_Croatia Balanced, <0.1
## country_Cuba Balanced, <0.1
## country_Curacao Balanced, <0.1
## country_Cyprus Balanced, <0.1
## country_Czechia Balanced, <0.1
## country_Denmark Balanced, <0.1
## country_Djibouti Balanced, <0.1
## country_Dominica Balanced, <0.1
## country_Dominican Republic Balanced, <0.1
## country_East Timor (see Timor-Leste) Balanced, <0.1
## country_Ecuador Balanced, <0.1
## country_Egypt Balanced, <0.1
## country_El Salvador Balanced, <0.1
## country_Equatorial Guinea Balanced, <0.1
## country_Estonia Balanced, <0.1
## country_Ethiopia Balanced, <0.1
## country_Fiji Balanced, <0.1
## country_Finland Balanced, <0.1
## country_France Balanced, <0.1
## country_Gabon Balanced, <0.1
## country_Gambia, The Balanced, <0.1
## country_Georgia Balanced, <0.1
## country_Germany Balanced, <0.1
## country_Ghana Balanced, <0.1
## country_Greece Balanced, <0.1
## country_Grenada Balanced, <0.1
## country_Guatemala Balanced, <0.1
## country_Guinea Balanced, <0.1
## country_Guyana Balanced, <0.1
## country_Haiti Balanced, <0.1
## country_Holy See Balanced, <0.1
## country_Honduras Balanced, <0.1
## country_Hong Kong Balanced, <0.1
## country_Hungary Balanced, <0.1
## country_Iceland Balanced, <0.1
## country_India Balanced, <0.1
## country_Indonesia Balanced, <0.1
## country_Iran Balanced, <0.1
## country_Iraq Balanced, <0.1
## country_Ireland Balanced, <0.1
## country_Israel Balanced, <0.1
## country_Italy Balanced, <0.1
## country_Jamaica Balanced, <0.1
## country_Japan Balanced, <0.1
## country_Jordan Balanced, <0.1
## country_Kazakhstan Balanced, <0.1
## country_Kenya Balanced, <0.1
## country_Kosovo Balanced, <0.1
## country_Kuwait Balanced, <0.1
## country_Kyrgyzstan Balanced, <0.1
## country_Latvia Balanced, <0.1
## country_Lebanon Balanced, <0.1
## country_Liberia Balanced, <0.1
## country_Libya Balanced, <0.1
## country_Liechtenstein Balanced, <0.1
## country_Lithuania Balanced, <0.1
## country_Luxembourg Balanced, <0.1
## country_Macau Balanced, <0.1
## country_Macedonia Balanced, <0.1
## country_Madagascar Balanced, <0.1
## country_Malawi Balanced, <0.1
## country_Malaysia Balanced, <0.1
## country_Maldives Balanced, <0.1
## country_Mali Balanced, <0.1
## country_Malta Balanced, <0.1
## country_Marshall Islands Balanced, <0.1
## country_Mauritania Balanced, <0.1
## country_Mauritius Balanced, <0.1
## country_Mexico Balanced, <0.1
## country_Moldova Balanced, <0.1
## country_Monaco Balanced, <0.1
## country_Montenegro Balanced, <0.1
## country_Morocco Balanced, <0.1
## country_Mozambique Balanced, <0.1
## country_Namibia Balanced, <0.1
## country_Netherlands Balanced, <0.1
## country_New Zealand Balanced, <0.1
## country_Nicaragua Balanced, <0.1
## country_Nigeria Balanced, <0.1
## country_Norway Balanced, <0.1
## country_Oman Balanced, <0.1
## country_Pakistan Balanced, <0.1
## country_Palestinian Territories Balanced, <0.1
## country_Panama Balanced, <0.1
## country_Paraguay Balanced, <0.1
## country_Peru Balanced, <0.1
## country_Philippines Balanced, <0.1
## country_Poland Balanced, <0.1
## country_Portugal Balanced, <0.1
## country_Qatar Balanced, <0.1
## country_Romania Balanced, <0.1
## country_Russia Balanced, <0.1
## country_Rwanda Balanced, <0.1
## country_Saint Lucia Balanced, <0.1
## country_Saint Vincent and the Grenadines Balanced, <0.1
## country_San Marino Balanced, <0.1
## country_Saudi Arabia Balanced, <0.1
## country_Senegal Balanced, <0.1
## country_Serbia Balanced, <0.1
## country_Singapore Balanced, <0.1
## country_Sint Maarten Balanced, <0.1
## country_Slovakia Balanced, <0.1
## country_Slovenia Balanced, <0.1
## country_Solomon Islands Balanced, <0.1
## country_South Africa Balanced, <0.1
## country_South Korea Balanced, <0.1
## country_South Sudan Balanced, <0.1
## country_Spain Balanced, <0.1
## country_Sri Lanka Balanced, <0.1
## country_Swaziland Balanced, <0.1
## country_Sweden Balanced, <0.1
## country_Switzerland Balanced, <0.1
## country_Syria Balanced, <0.1
## country_Taiwan Balanced, <0.1
## country_Tanzania Balanced, <0.1
## country_Thailand Balanced, <0.1
## country_Trinidad and Tobago Balanced, <0.1
## country_Tunisia Balanced, <0.1
## country_Turkey Balanced, <0.1
## country_Turkmenistan Balanced, <0.1
## country_Tuvalu Balanced, <0.1
## country_Uganda Balanced, <0.1
## country_Ukraine Balanced, <0.1
## country_United Arab Emirates Balanced, <0.1
## country_United Kingdom Balanced, <0.1
## country_United States of America Balanced, <0.1
## country_Uruguay Balanced, <0.1
## country_Uzbekistan Balanced, <0.1
## country_Venezuela Balanced, <0.1
## country_Vietnam Balanced, <0.1
## country_Zimbabwe Balanced, <0.1
## relationship_status_Long-term Balanced, <0.1
## relationship_status_No relationship Balanced, <0.1
## relationship_status_Short-term Balanced, <0.1
## relationship_length Balanced, <0.1
##
## Balance tally for mean differences
## count
## Balanced, <0.1 186
## Not Balanced, >0.1 0
##
## Variable with the greatest mean difference
## Variable Diff.Adj M.Threshold
## country_Canada -0.0699 Balanced, <0.1
##
## Sample sizes
## Control Treated
## All 46746 390
## Matched 389 389
## Unmatched 46357 1bal.tab(nnm_25, v.threshold = 2, un = T)#vr (can only be calculated for continuous variables)## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "nearest", caliper = 0.25)
##
## Balance Measures
## Type Diff.Un V.Ratio.Un Diff.Adj
## distance Distance 0.7498 4.8204 -0.0001
## language_chinese Binary -0.0767 . 0.0000
## language_danish Binary -0.1062 . 0.0000
## language_english Binary 0.5402 . 0.0103
## language_french Binary -0.5356 . -0.0105
## language_german Binary 0.0406 . 0.0000
## language_italian Binary -0.1272 . -0.0134
## language_japanese Binary 0.0392 . 0.0000
## language_portuguese Binary -0.1115 . 0.0000
## language_russian Binary 0.0116 . 0.0000
## language_spanish Binary -0.2782 . 0.0000
## age Contin. -0.1964 0.7691 -0.0257
## country_Afghanistan Binary -0.0080 . 0.0000
## country_Albania Binary -0.0093 . 0.0000
## country_Algeria Binary 0.0444 . 0.0000
## country_Andorra Binary -0.0192 . 0.0000
## country_Angola Binary -0.0066 . 0.0000
## country_Antigua and Barbuda Binary -0.0093 . 0.0000
## country_Argentina Binary 0.0391 . 0.0000
## country_Armenia Binary -0.0093 . 0.0000
## country_Aruba Binary -0.0066 . 0.0000
## country_Australia Binary 0.1256 . 0.0000
## country_Austria Binary 0.0014 . -0.0229
## country_Azerbaijan Binary -0.0046 . 0.0000
## country_Bahamas, The Binary -0.0104 . 0.0000
## country_Bahrain Binary -0.0080 . 0.0000
## country_Bangladesh Binary -0.0046 . 0.0000
## country_Barbados Binary -0.0093 . 0.0000
## country_Belarus Binary -0.0312 . 0.0000
## country_Belgium Binary -0.0964 . 0.0000
## country_Belize Binary -0.0080 . 0.0000
## country_Benin Binary -0.0080 . 0.0000
## country_Bhutan Binary -0.0046 . 0.0000
## country_Bolivia Binary -0.0360 . 0.0000
## country_Bosnia and Herzegovina Binary -0.0161 . 0.0000
## country_Botswana Binary -0.0046 . 0.0000
## country_Brazil Binary -0.0778 . 0.0117
## country_Brunei Binary -0.0046 . 0.0000
## country_Bulgaria Binary -0.0254 . 0.0000
## country_Burkina Faso Binary -0.0080 . 0.0000
## country_Burma Binary -0.0066 . 0.0000
## country_Cabo Verde Binary -0.0046 . 0.0000
## country_Cambodia Binary -0.0046 . 0.0000
## country_Cameroon Binary -0.0147 . 0.0000
## country_Canada Binary 0.1002 . -0.0699
## country_Central African Republic Binary -0.0066 . 0.0000
## country_Chile Binary 0.0137 . -0.0229
## country_China Binary -0.0748 . 0.0000
## country_Colombia Binary -0.1173 . 0.0000
## country_Costa Rica Binary -0.0204 . 0.0000
## country_Cote d'Ivoire Binary -0.0131 . 0.0000
## country_Croatia Binary -0.0208 . 0.0000
## country_Cuba Binary -0.0114 . 0.0000
## country_Curacao Binary -0.0046 . 0.0000
## country_Cyprus Binary -0.0080 . 0.0000
## country_Czechia Binary 0.0792 . 0.0000
## country_Denmark Binary -0.1124 . 0.0000
## country_Djibouti Binary -0.0046 . 0.0000
## country_Dominica Binary -0.0080 . 0.0000
## country_Dominican Republic Binary 0.0059 . 0.0508
## country_East Timor (see Timor-Leste) Binary -0.0046 . 0.0000
## country_Ecuador Binary -0.0789 . 0.0000
## country_Egypt Binary -0.0114 . 0.0000
## country_El Salvador Binary -0.0446 . 0.0000
## country_Equatorial Guinea Binary -0.0046 . 0.0000
## country_Estonia Binary -0.0250 . 0.0000
## country_Ethiopia Binary -0.0046 . 0.0000
## country_Fiji Binary -0.0093 . 0.0000
## country_Finland Binary 0.0490 . 0.0000
## country_France Binary -0.5874 . 0.0000
## country_Gabon Binary -0.0093 . 0.0000
## country_Gambia, The Binary -0.0046 . 0.0000
## country_Georgia Binary -0.0131 . 0.0000
## country_Germany Binary 0.0252 . 0.0000
## country_Ghana Binary -0.0104 . 0.0000
## country_Greece Binary -0.0232 . 0.0000
## country_Grenada Binary -0.0114 . 0.0000
## country_Guatemala Binary 0.0251 . 0.0360
## country_Guinea Binary -0.0046 . 0.0000
## country_Guyana Binary -0.0154 . 0.0000
## country_Haiti Binary -0.0123 . 0.0000
## country_Holy See Binary -0.0066 . 0.0000
## country_Honduras Binary -0.0308 . 0.0000
## country_Hong Kong Binary -0.0271 . 0.0000
## country_Hungary Binary -0.0279 . 0.0000
## country_Iceland Binary -0.0197 . 0.0000
## country_India Binary -0.0479 . 0.0000
## country_Indonesia Binary -0.0308 . 0.0000
## country_Iran Binary 0.0418 . 0.0508
## country_Iraq Binary -0.0080 . 0.0000
## country_Ireland Binary -0.0237 . 0.0508
## country_Israel Binary 0.0312 . 0.0508
## country_Italy Binary -0.1030 . -0.0259
## country_Jamaica Binary -0.0186 . 0.0000
## country_Japan Binary 0.0622 . 0.0138
## country_Jordan Binary -0.0080 . 0.0000
## country_Kazakhstan Binary -0.0208 . 0.0000
## country_Kenya Binary 0.0431 . 0.0000
## country_Kosovo Binary -0.0046 . 0.0000
## country_Kuwait Binary -0.0066 . 0.0000
## country_Kyrgyzstan Binary -0.0080 . 0.0000
## country_Latvia Binary -0.0213 . 0.0000
## country_Lebanon Binary -0.0139 . 0.0000
## country_Liberia Binary -0.0046 . 0.0000
## country_Libya Binary -0.0066 . 0.0000
## country_Liechtenstein Binary -0.0066 . 0.0000
## country_Lithuania Binary -0.0237 . 0.0000
## country_Luxembourg Binary -0.0325 . 0.0000
## country_Macau Binary -0.0066 . 0.0000
## country_Macedonia Binary -0.0046 . 0.0000
## country_Madagascar Binary -0.0114 . 0.0000
## country_Malawi Binary -0.0046 . 0.0000
## country_Malaysia Binary -0.0363 . 0.0000
## country_Maldives Binary -0.0066 . 0.0000
## country_Mali Binary -0.0066 . 0.0000
## country_Malta Binary -0.0139 . 0.0000
## country_Marshall Islands Binary -0.0046 . 0.0000
## country_Mauritania Binary -0.0046 . 0.0000
## country_Mauritius Binary -0.0114 . 0.0000
## country_Mexico Binary -0.1505 . 0.0000
## country_Moldova Binary -0.0080 . 0.0000
## country_Monaco Binary -0.0066 . 0.0000
## country_Montenegro Binary -0.0046 . 0.0000
## country_Morocco Binary -0.0286 . 0.0000
## country_Mozambique Binary -0.0046 . 0.0000
## country_Namibia Binary -0.0114 . 0.0000
## country_Netherlands Binary 0.0227 . 0.0360
## country_New Zealand Binary 0.0474 . 0.0294
## country_Nicaragua Binary 0.0367 . 0.0508
## country_Nigeria Binary -0.0218 . 0.0000
## country_Norway Binary -0.0325 . 0.0000
## country_Oman Binary -0.0066 . 0.0000
## country_Pakistan Binary 0.0452 . 0.0508
## country_Palestinian Territories Binary -0.0046 . 0.0000
## country_Panama Binary -0.0394 . 0.0000
## country_Paraguay Binary -0.0286 . 0.0000
## country_Peru Binary -0.0949 . 0.0000
## country_Philippines Binary 0.0451 . 0.0360
## country_Poland Binary -0.0254 . 0.0000
## country_Portugal Binary -0.0727 . 0.0000
## country_Qatar Binary -0.0131 . 0.0000
## country_Romania Binary -0.0380 . 0.0000
## country_Russia Binary 0.0406 . 0.0000
## country_Rwanda Binary -0.0046 . 0.0000
## country_Saint Lucia Binary -0.0093 . 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0046 . 0.0000
## country_San Marino Binary -0.0046 . 0.0000
## country_Saudi Arabia Binary -0.0147 . 0.0000
## country_Senegal Binary -0.0167 . 0.0000
## country_Serbia Binary -0.0192 . 0.0000
## country_Singapore Binary 0.0177 . 0.0000
## country_Sint Maarten Binary -0.0066 . 0.0000
## country_Slovakia Binary -0.0167 . 0.0000
## country_Slovenia Binary -0.0186 . 0.0000
## country_Solomon Islands Binary -0.0046 . 0.0000
## country_South Africa Binary -0.0009 . 0.0000
## country_South Korea Binary -0.0174 . 0.0000
## country_South Sudan Binary -0.0046 . 0.0000
## country_Spain Binary -0.1151 . 0.0163
## country_Sri Lanka Binary -0.0104 . 0.0000
## country_Swaziland Binary -0.0046 . 0.0000
## country_Sweden Binary 0.0012 . -0.0508
## country_Switzerland Binary -0.0000 . 0.0181
## country_Syria Binary -0.0046 . 0.0000
## country_Taiwan Binary -0.0186 . 0.0000
## country_Tanzania Binary -0.0066 . 0.0000
## country_Thailand Binary -0.0186 . 0.0000
## country_Trinidad and Tobago Binary -0.0186 . 0.0000
## country_Tunisia Binary -0.0180 . 0.0000
## country_Turkey Binary -0.0254 . 0.0000
## country_Turkmenistan Binary -0.0104 . 0.0000
## country_Tuvalu Binary -0.0046 . 0.0000
## country_Uganda Binary -0.0093 . 0.0000
## country_Ukraine Binary 0.0177 . 0.0000
## country_United Arab Emirates Binary -0.0271 . 0.0000
## country_United Kingdom Binary 0.0643 . 0.0000
## country_United States of America Binary 0.4080 . -0.0170
## country_Uruguay Binary 0.0076 . 0.0000
## country_Uzbekistan Binary -0.0046 . 0.0000
## country_Venezuela Binary -0.0694 . 0.0000
## country_Vietnam Binary -0.0154 . 0.0000
## country_Zimbabwe Binary -0.0093 . 0.0000
## relationship_status_Long-term Binary -0.8568 . 0.0235
## relationship_status_No relationship Binary 0.9892 . -0.0167
## relationship_status_Short-term Binary -0.3698 . -0.0114
## relationship_length Contin. -0.3515 0.5841 -0.0085
## V.Ratio.Adj V.Threshold
## distance 0.9993 Balanced, <2
## language_chinese .
## language_danish .
## language_english .
## language_french .
## language_german .
## language_italian .
## language_japanese .
## language_portuguese .
## language_russian .
## language_spanish .
## age 0.9389 Balanced, <2
## country_Afghanistan .
## country_Albania .
## country_Algeria .
## country_Andorra .
## country_Angola .
## country_Antigua and Barbuda .
## country_Argentina .
## country_Armenia .
## country_Aruba .
## country_Australia .
## country_Austria .
## country_Azerbaijan .
## country_Bahamas, The .
## country_Bahrain .
## country_Bangladesh .
## country_Barbados .
## country_Belarus .
## country_Belgium .
## country_Belize .
## country_Benin .
## country_Bhutan .
## country_Bolivia .
## country_Bosnia and Herzegovina .
## country_Botswana .
## country_Brazil .
## country_Brunei .
## country_Bulgaria .
## country_Burkina Faso .
## country_Burma .
## country_Cabo Verde .
## country_Cambodia .
## country_Cameroon .
## country_Canada .
## country_Central African Republic .
## country_Chile .
## country_China .
## country_Colombia .
## country_Costa Rica .
## country_Cote d'Ivoire .
## country_Croatia .
## country_Cuba .
## country_Curacao .
## country_Cyprus .
## country_Czechia .
## country_Denmark .
## country_Djibouti .
## country_Dominica .
## country_Dominican Republic .
## country_East Timor (see Timor-Leste) .
## country_Ecuador .
## country_Egypt .
## country_El Salvador .
## country_Equatorial Guinea .
## country_Estonia .
## country_Ethiopia .
## country_Fiji .
## country_Finland .
## country_France .
## country_Gabon .
## country_Gambia, The .
## country_Georgia .
## country_Germany .
## country_Ghana .
## country_Greece .
## country_Grenada .
## country_Guatemala .
## country_Guinea .
## country_Guyana .
## country_Haiti .
## country_Holy See .
## country_Honduras .
## country_Hong Kong .
## country_Hungary .
## country_Iceland .
## country_India .
## country_Indonesia .
## country_Iran .
## country_Iraq .
## country_Ireland .
## country_Israel .
## country_Italy .
## country_Jamaica .
## country_Japan .
## country_Jordan .
## country_Kazakhstan .
## country_Kenya .
## country_Kosovo .
## country_Kuwait .
## country_Kyrgyzstan .
## country_Latvia .
## country_Lebanon .
## country_Liberia .
## country_Libya .
## country_Liechtenstein .
## country_Lithuania .
## country_Luxembourg .
## country_Macau .
## country_Macedonia .
## country_Madagascar .
## country_Malawi .
## country_Malaysia .
## country_Maldives .
## country_Mali .
## country_Malta .
## country_Marshall Islands .
## country_Mauritania .
## country_Mauritius .
## country_Mexico .
## country_Moldova .
## country_Monaco .
## country_Montenegro .
## country_Morocco .
## country_Mozambique .
## country_Namibia .
## country_Netherlands .
## country_New Zealand .
## country_Nicaragua .
## country_Nigeria .
## country_Norway .
## country_Oman .
## country_Pakistan .
## country_Palestinian Territories .
## country_Panama .
## country_Paraguay .
## country_Peru .
## country_Philippines .
## country_Poland .
## country_Portugal .
## country_Qatar .
## country_Romania .
## country_Russia .
## country_Rwanda .
## country_Saint Lucia .
## country_Saint Vincent and the Grenadines .
## country_San Marino .
## country_Saudi Arabia .
## country_Senegal .
## country_Serbia .
## country_Singapore .
## country_Sint Maarten .
## country_Slovakia .
## country_Slovenia .
## country_Solomon Islands .
## country_South Africa .
## country_South Korea .
## country_South Sudan .
## country_Spain .
## country_Sri Lanka .
## country_Swaziland .
## country_Sweden .
## country_Switzerland .
## country_Syria .
## country_Taiwan .
## country_Tanzania .
## country_Thailand .
## country_Trinidad and Tobago .
## country_Tunisia .
## country_Turkey .
## country_Turkmenistan .
## country_Tuvalu .
## country_Uganda .
## country_Ukraine .
## country_United Arab Emirates .
## country_United Kingdom .
## country_United States of America .
## country_Uruguay .
## country_Uzbekistan .
## country_Venezuela .
## country_Vietnam .
## country_Zimbabwe .
## relationship_status_Long-term .
## relationship_status_No relationship .
## relationship_status_Short-term .
## relationship_length 0.9637 Balanced, <2
##
## Balance tally for variance ratios
## count
## Balanced, <2 3
## Not Balanced, >2 0
##
## Variable with the greatest variance ratio
## Variable V.Ratio.Adj V.Threshold
## age 0.9389 Balanced, <2
##
## Sample sizes
## Control Treated
## All 46746 390
## Matched 389 389
## Unmatched 46357 1All variables are balanced.
Visualize
# Q-Q plot
plot(nnm_25, type = "qq", interactive = FALSE, which.xs = c("age", "relationship_length"))
# sieht besser aus als vorher
# Jitter plot
plot(nnm_25, type = "jitter", interactive = FALSE)
# with cobalt package:
# distributional density/histogram
bal.plot(nnm_25, var.name = "age", which = "both", grid = T)
bal.plot(nnm_25, var.name = "relationship_length", which = "both", grid = T)
bal.plot(nnm_25, var.name = "relationship_status", which = "both", grid = T)
bal.plot(nnm_25, var.name = "language", which = "both", grid = T)
bal.plot(nnm_25, var.name = "country", which = "both", grid = T) # not readable
love.plot(bal.tab(nnm_25, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
# nt readable due to country variable
# remove country variable for love plot
nnm_25_without_country = nnm_25
nnm_25_without_country$X[c("country")] <- NULL
love.plot(bal.tab(nnm_25_without_country, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
Unmatched asexual lies within the area of common support.
Matching with nearest-neighbor-algorithm with caliper = 0.1*sd
nnm_10 <- matchit(sexual_orientation ~ language + age + country + relationship_status + relationship_length, method = "nearest", caliper = 0.1, data = data_main_nomiss)
nnm_10_data <- match.data(nnm_10)
nrow(nnm_10_data) # 774 observations## [1] 774table(nnm_10_data$subclass) # data includes only pairs of two observations##
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 381 382 383 384 385 386 387
## 2 2 2 2 2 2 2dim(nnm_10_data) # 774 observations and 16 variables## [1] 774 173 asexuals unmatched.
Check balance
summary_nnm_10 = summary(nnm_10, standardize = T)
print(summary_nnm_10)##
## Call:
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "nearest", caliper = 0.1)
##
## Summary of Balance for All Data:
## Means Treated Means Control
## distance 0.0302 0.0081
## languagechinese 0.0000 0.0058
## languagedanish 0.0154 0.0285
## languageenglish 0.4974 0.2273
## languagefrench 0.0641 0.1953
## languagegerman 0.1538 0.1392
## languageitalian 0.0385 0.0629
## languagejapanese 0.0308 0.0240
## languageportuguese 0.0487 0.0727
## languagerussian 0.0179 0.0164
## languagespanish 0.1333 0.2279
## age 23.9410 25.1973
## countryAfghanistan 0.0000 0.0001
## countryAlbania 0.0000 0.0001
## countryAlgeria 0.0026 0.0003
## countryAndorra 0.0000 0.0004
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0001
## countryArgentina 0.0231 0.0172
## countryArmenia 0.0000 0.0001
## countryAruba 0.0000 0.0000
## countryAustralia 0.0333 0.0108
## countryAustria 0.0128 0.0127
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0001
## countryBahrain 0.0000 0.0001
## countryBangladesh 0.0000 0.0000
## countryBarbados 0.0000 0.0001
## countryBelarus 0.0000 0.0010
## countryBelgium 0.0000 0.0091
## countryBelize 0.0000 0.0001
## countryBenin 0.0000 0.0001
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0013
## countryBosnia and Herzegovina 0.0000 0.0003
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0513 0.0684
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0006
## countryBurkina Faso 0.0000 0.0001
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0002
## countryCanada 0.0513 0.0292
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0128 0.0113
## countryChina 0.0000 0.0055
## countryColombia 0.0128 0.0260
## countryCosta Rica 0.0026 0.0036
## countryCote d'Ivoire 0.0000 0.0002
## countryCroatia 0.0000 0.0004
## countryCuba 0.0000 0.0001
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0001
## countryCzechia 0.0077 0.0008
## countryDenmark 0.0154 0.0292
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0001
## countryDominican Republic 0.0026 0.0023
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0061
## countryEgypt 0.0000 0.0001
## countryEl Salvador 0.0000 0.0020
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0006
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0001
## countryFinland 0.0051 0.0016
## countryFrance 0.0436 0.1635
## countryGabon 0.0000 0.0001
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0002
## countryGermany 0.1282 0.1198
## countryGhana 0.0000 0.0001
## countryGreece 0.0000 0.0005
## countryGrenada 0.0000 0.0001
## countryGuatemala 0.0051 0.0033
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0002
## countryHaiti 0.0000 0.0001
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0009
## countryHong Kong 0.0000 0.0007
## countryHungary 0.0000 0.0008
## countryIceland 0.0000 0.0004
## countryIndia 0.0000 0.0023
## countryIndonesia 0.0000 0.0009
## countryIran 0.0026 0.0004
## countryIraq 0.0000 0.0001
## countryIreland 0.0026 0.0038
## countryIsrael 0.0026 0.0010
## countryItaly 0.0410 0.0615
## countryJamaica 0.0000 0.0003
## countryJapan 0.0359 0.0243
## countryJordan 0.0000 0.0001
## countryKazakhstan 0.0000 0.0004
## countryKenya 0.0026 0.0004
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0001
## countryLatvia 0.0000 0.0004
## countryLebanon 0.0000 0.0002
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0006
## countryLuxembourg 0.0000 0.0010
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0001
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0013
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0002
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0001
## countryMexico 0.0564 0.0911
## countryMoldova 0.0000 0.0001
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0008
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0001
## countryNetherlands 0.0051 0.0035
## countryNew Zealand 0.0077 0.0036
## countryNicaragua 0.0026 0.0007
## countryNigeria 0.0000 0.0005
## countryNorway 0.0000 0.0010
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0003
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0000 0.0015
## countryParaguay 0.0000 0.0008
## countryPeru 0.0000 0.0089
## countryPhilippines 0.0051 0.0019
## countryPoland 0.0000 0.0006
## countryPortugal 0.0000 0.0052
## countryQatar 0.0000 0.0002
## countryRomania 0.0000 0.0014
## countryRussia 0.0179 0.0126
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0001
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0002
## countrySenegal 0.0000 0.0003
## countrySerbia 0.0000 0.0004
## countrySingapore 0.0026 0.0017
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0003
## countrySlovenia 0.0000 0.0003
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0026 0.0026
## countrySouth Korea 0.0000 0.0003
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0256 0.0438
## countrySri Lanka 0.0000 0.0001
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0025
## countrySwitzerland 0.0205 0.0205
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0003
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0003
## countryTrinidad and Tobago 0.0000 0.0003
## countryTunisia 0.0000 0.0003
## countryTurkey 0.0000 0.0006
## countryTurkmenistan 0.0000 0.0001
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0001
## countryUkraine 0.0026 0.0017
## countryUnited Arab Emirates 0.0000 0.0007
## countryUnited Kingdom 0.0564 0.0416
## countryUnited States of America 0.2897 0.1047
## countryUruguay 0.0026 0.0022
## countryUzbekistan 0.0000 0.0000
## countryVenezuela 0.0000 0.0047
## countryVietnam 0.0000 0.0002
## countryZimbabwe 0.0000 0.0001
## relationship_statusLong-term 0.2564 0.6305
## relationship_statusNo relationship 0.6897 0.2321
## relationship_statusShort-term 0.0538 0.1373
## relationship_length 1.1564 2.3230
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance 0.7498 4.8204 0.3136
## languagechinese -0.0767 . 0.0058
## languagedanish -0.1062 . 0.0131
## languageenglish 0.5402 . 0.2701
## languagefrench -0.5356 . 0.1312
## languagegerman 0.0406 . 0.0146
## languageitalian -0.1272 . 0.0245
## languagejapanese 0.0392 . 0.0068
## languageportuguese -0.1115 . 0.0240
## languagerussian 0.0116 . 0.0015
## languagespanish -0.2782 . 0.0946
## age -0.1964 0.7691 0.0262
## countryAfghanistan -0.0080 . 0.0001
## countryAlbania -0.0093 . 0.0001
## countryAlgeria 0.0444 . 0.0022
## countryAndorra -0.0192 . 0.0004
## countryAngola -0.0066 . 0.0000
## countryAntigua and Barbuda -0.0093 . 0.0001
## countryArgentina 0.0391 . 0.0059
## countryArmenia -0.0093 . 0.0001
## countryAruba -0.0066 . 0.0000
## countryAustralia 0.1256 . 0.0226
## countryAustria 0.0014 . 0.0002
## countryAzerbaijan -0.0046 . 0.0000
## countryBahamas, The -0.0104 . 0.0001
## countryBahrain -0.0080 . 0.0001
## countryBangladesh -0.0046 . 0.0000
## countryBarbados -0.0093 . 0.0001
## countryBelarus -0.0312 . 0.0010
## countryBelgium -0.0964 . 0.0091
## countryBelize -0.0080 . 0.0001
## countryBenin -0.0080 . 0.0001
## countryBhutan -0.0046 . 0.0000
## countryBolivia -0.0360 . 0.0013
## countryBosnia and Herzegovina -0.0161 . 0.0003
## countryBotswana -0.0046 . 0.0000
## countryBrazil -0.0778 . 0.0172
## countryBrunei -0.0046 . 0.0000
## countryBulgaria -0.0254 . 0.0006
## countryBurkina Faso -0.0080 . 0.0001
## countryBurma -0.0066 . 0.0000
## countryCabo Verde -0.0046 . 0.0000
## countryCambodia -0.0046 . 0.0000
## countryCameroon -0.0147 . 0.0002
## countryCanada 0.1002 . 0.0221
## countryCentral African Republic -0.0066 . 0.0000
## countryChile 0.0137 . 0.0015
## countryChina -0.0748 . 0.0055
## countryColombia -0.1173 . 0.0132
## countryCosta Rica -0.0204 . 0.0010
## countryCote d'Ivoire -0.0131 . 0.0002
## countryCroatia -0.0208 . 0.0004
## countryCuba -0.0114 . 0.0001
## countryCuracao -0.0046 . 0.0000
## countryCyprus -0.0080 . 0.0001
## countryCzechia 0.0792 . 0.0069
## countryDenmark -0.1124 . 0.0138
## countryDjibouti -0.0046 . 0.0000
## countryDominica -0.0080 . 0.0001
## countryDominican Republic 0.0059 . 0.0003
## countryEast Timor (see Timor-Leste) -0.0046 . 0.0000
## countryEcuador -0.0789 . 0.0061
## countryEgypt -0.0114 . 0.0001
## countryEl Salvador -0.0446 . 0.0020
## countryEquatorial Guinea -0.0046 . 0.0000
## countryEstonia -0.0250 . 0.0006
## countryEthiopia -0.0046 . 0.0000
## countryFiji -0.0093 . 0.0001
## countryFinland 0.0490 . 0.0035
## countryFrance -0.5874 . 0.1199
## countryGabon -0.0093 . 0.0001
## countryGambia, The -0.0046 . 0.0000
## countryGeorgia -0.0131 . 0.0002
## countryGermany 0.0252 . 0.0084
## countryGhana -0.0104 . 0.0001
## countryGreece -0.0232 . 0.0005
## countryGrenada -0.0114 . 0.0001
## countryGuatemala 0.0251 . 0.0018
## countryGuinea -0.0046 . 0.0000
## countryGuyana -0.0154 . 0.0002
## countryHaiti -0.0123 . 0.0001
## countryHoly See -0.0066 . 0.0000
## countryHonduras -0.0308 . 0.0009
## countryHong Kong -0.0271 . 0.0007
## countryHungary -0.0279 . 0.0008
## countryIceland -0.0197 . 0.0004
## countryIndia -0.0479 . 0.0023
## countryIndonesia -0.0308 . 0.0009
## countryIran 0.0418 . 0.0021
## countryIraq -0.0080 . 0.0001
## countryIreland -0.0237 . 0.0012
## countryIsrael 0.0312 . 0.0016
## countryItaly -0.1030 . 0.0204
## countryJamaica -0.0186 . 0.0003
## countryJapan 0.0622 . 0.0116
## countryJordan -0.0080 . 0.0001
## countryKazakhstan -0.0208 . 0.0004
## countryKenya 0.0431 . 0.0022
## countryKosovo -0.0046 . 0.0000
## countryKuwait -0.0066 . 0.0000
## countryKyrgyzstan -0.0080 . 0.0001
## countryLatvia -0.0213 . 0.0004
## countryLebanon -0.0139 . 0.0002
## countryLiberia -0.0046 . 0.0000
## countryLibya -0.0066 . 0.0000
## countryLiechtenstein -0.0066 . 0.0000
## countryLithuania -0.0237 . 0.0006
## countryLuxembourg -0.0325 . 0.0010
## countryMacau -0.0066 . 0.0000
## countryMacedonia -0.0046 . 0.0000
## countryMadagascar -0.0114 . 0.0001
## countryMalawi -0.0046 . 0.0000
## countryMalaysia -0.0363 . 0.0013
## countryMaldives -0.0066 . 0.0000
## countryMali -0.0066 . 0.0000
## countryMalta -0.0139 . 0.0002
## countryMarshall Islands -0.0046 . 0.0000
## countryMauritania -0.0046 . 0.0000
## countryMauritius -0.0114 . 0.0001
## countryMexico -0.1505 . 0.0347
## countryMoldova -0.0080 . 0.0001
## countryMonaco -0.0066 . 0.0000
## countryMontenegro -0.0046 . 0.0000
## countryMorocco -0.0286 . 0.0008
## countryMozambique -0.0046 . 0.0000
## countryNamibia -0.0114 . 0.0001
## countryNetherlands 0.0227 . 0.0016
## countryNew Zealand 0.0474 . 0.0041
## countryNicaragua 0.0367 . 0.0019
## countryNigeria -0.0218 . 0.0005
## countryNorway -0.0325 . 0.0010
## countryOman -0.0066 . 0.0000
## countryPakistan 0.0452 . 0.0023
## countryPalestinian Territories -0.0046 . 0.0000
## countryPanama -0.0394 . 0.0015
## countryParaguay -0.0286 . 0.0008
## countryPeru -0.0949 . 0.0089
## countryPhilippines 0.0451 . 0.0032
## countryPoland -0.0254 . 0.0006
## countryPortugal -0.0727 . 0.0052
## countryQatar -0.0131 . 0.0002
## countryRomania -0.0380 . 0.0014
## countryRussia 0.0406 . 0.0054
## countryRwanda -0.0046 . 0.0000
## countrySaint Lucia -0.0093 . 0.0001
## countrySaint Vincent and the Grenadines -0.0046 . 0.0000
## countrySan Marino -0.0046 . 0.0000
## countrySaudi Arabia -0.0147 . 0.0002
## countrySenegal -0.0167 . 0.0003
## countrySerbia -0.0192 . 0.0004
## countrySingapore 0.0177 . 0.0009
## countrySint Maarten -0.0066 . 0.0000
## countrySlovakia -0.0167 . 0.0003
## countrySlovenia -0.0186 . 0.0003
## countrySolomon Islands -0.0046 . 0.0000
## countrySouth Africa -0.0009 . 0.0000
## countrySouth Korea -0.0174 . 0.0003
## countrySouth Sudan -0.0046 . 0.0000
## countrySpain -0.1151 . 0.0182
## countrySri Lanka -0.0104 . 0.0001
## countrySwaziland -0.0046 . 0.0000
## countrySweden 0.0012 . 0.0001
## countrySwitzerland -0.0000 . 0.0000
## countrySyria -0.0046 . 0.0000
## countryTaiwan -0.0186 . 0.0003
## countryTanzania -0.0066 . 0.0000
## countryThailand -0.0186 . 0.0003
## countryTrinidad and Tobago -0.0186 . 0.0003
## countryTunisia -0.0180 . 0.0003
## countryTurkey -0.0254 . 0.0006
## countryTurkmenistan -0.0104 . 0.0001
## countryTuvalu -0.0046 . 0.0000
## countryUganda -0.0093 . 0.0001
## countryUkraine 0.0177 . 0.0009
## countryUnited Arab Emirates -0.0271 . 0.0007
## countryUnited Kingdom 0.0643 . 0.0148
## countryUnited States of America 0.4080 . 0.1851
## countryUruguay 0.0076 . 0.0004
## countryUzbekistan -0.0046 . 0.0000
## countryVenezuela -0.0694 . 0.0047
## countryVietnam -0.0154 . 0.0002
## countryZimbabwe -0.0093 . 0.0001
## relationship_statusLong-term -0.8568 . 0.3741
## relationship_statusNo relationship 0.9892 . 0.4576
## relationship_statusShort-term -0.3698 . 0.0835
## relationship_length -0.3515 0.5841 0.0242
## eCDF Max
## distance 0.5290
## languagechinese 0.0058
## languagedanish 0.0131
## languageenglish 0.2701
## languagefrench 0.1312
## languagegerman 0.0146
## languageitalian 0.0245
## languagejapanese 0.0068
## languageportuguese 0.0240
## languagerussian 0.0015
## languagespanish 0.0946
## age 0.0877
## countryAfghanistan 0.0001
## countryAlbania 0.0001
## countryAlgeria 0.0022
## countryAndorra 0.0004
## countryAngola 0.0000
## countryAntigua and Barbuda 0.0001
## countryArgentina 0.0059
## countryArmenia 0.0001
## countryAruba 0.0000
## countryAustralia 0.0226
## countryAustria 0.0002
## countryAzerbaijan 0.0000
## countryBahamas, The 0.0001
## countryBahrain 0.0001
## countryBangladesh 0.0000
## countryBarbados 0.0001
## countryBelarus 0.0010
## countryBelgium 0.0091
## countryBelize 0.0001
## countryBenin 0.0001
## countryBhutan 0.0000
## countryBolivia 0.0013
## countryBosnia and Herzegovina 0.0003
## countryBotswana 0.0000
## countryBrazil 0.0172
## countryBrunei 0.0000
## countryBulgaria 0.0006
## countryBurkina Faso 0.0001
## countryBurma 0.0000
## countryCabo Verde 0.0000
## countryCambodia 0.0000
## countryCameroon 0.0002
## countryCanada 0.0221
## countryCentral African Republic 0.0000
## countryChile 0.0015
## countryChina 0.0055
## countryColombia 0.0132
## countryCosta Rica 0.0010
## countryCote d'Ivoire 0.0002
## countryCroatia 0.0004
## countryCuba 0.0001
## countryCuracao 0.0000
## countryCyprus 0.0001
## countryCzechia 0.0069
## countryDenmark 0.0138
## countryDjibouti 0.0000
## countryDominica 0.0001
## countryDominican Republic 0.0003
## countryEast Timor (see Timor-Leste) 0.0000
## countryEcuador 0.0061
## countryEgypt 0.0001
## countryEl Salvador 0.0020
## countryEquatorial Guinea 0.0000
## countryEstonia 0.0006
## countryEthiopia 0.0000
## countryFiji 0.0001
## countryFinland 0.0035
## countryFrance 0.1199
## countryGabon 0.0001
## countryGambia, The 0.0000
## countryGeorgia 0.0002
## countryGermany 0.0084
## countryGhana 0.0001
## countryGreece 0.0005
## countryGrenada 0.0001
## countryGuatemala 0.0018
## countryGuinea 0.0000
## countryGuyana 0.0002
## countryHaiti 0.0001
## countryHoly See 0.0000
## countryHonduras 0.0009
## countryHong Kong 0.0007
## countryHungary 0.0008
## countryIceland 0.0004
## countryIndia 0.0023
## countryIndonesia 0.0009
## countryIran 0.0021
## countryIraq 0.0001
## countryIreland 0.0012
## countryIsrael 0.0016
## countryItaly 0.0204
## countryJamaica 0.0003
## countryJapan 0.0116
## countryJordan 0.0001
## countryKazakhstan 0.0004
## countryKenya 0.0022
## countryKosovo 0.0000
## countryKuwait 0.0000
## countryKyrgyzstan 0.0001
## countryLatvia 0.0004
## countryLebanon 0.0002
## countryLiberia 0.0000
## countryLibya 0.0000
## countryLiechtenstein 0.0000
## countryLithuania 0.0006
## countryLuxembourg 0.0010
## countryMacau 0.0000
## countryMacedonia 0.0000
## countryMadagascar 0.0001
## countryMalawi 0.0000
## countryMalaysia 0.0013
## countryMaldives 0.0000
## countryMali 0.0000
## countryMalta 0.0002
## countryMarshall Islands 0.0000
## countryMauritania 0.0000
## countryMauritius 0.0001
## countryMexico 0.0347
## countryMoldova 0.0001
## countryMonaco 0.0000
## countryMontenegro 0.0000
## countryMorocco 0.0008
## countryMozambique 0.0000
## countryNamibia 0.0001
## countryNetherlands 0.0016
## countryNew Zealand 0.0041
## countryNicaragua 0.0019
## countryNigeria 0.0005
## countryNorway 0.0010
## countryOman 0.0000
## countryPakistan 0.0023
## countryPalestinian Territories 0.0000
## countryPanama 0.0015
## countryParaguay 0.0008
## countryPeru 0.0089
## countryPhilippines 0.0032
## countryPoland 0.0006
## countryPortugal 0.0052
## countryQatar 0.0002
## countryRomania 0.0014
## countryRussia 0.0054
## countryRwanda 0.0000
## countrySaint Lucia 0.0001
## countrySaint Vincent and the Grenadines 0.0000
## countrySan Marino 0.0000
## countrySaudi Arabia 0.0002
## countrySenegal 0.0003
## countrySerbia 0.0004
## countrySingapore 0.0009
## countrySint Maarten 0.0000
## countrySlovakia 0.0003
## countrySlovenia 0.0003
## countrySolomon Islands 0.0000
## countrySouth Africa 0.0000
## countrySouth Korea 0.0003
## countrySouth Sudan 0.0000
## countrySpain 0.0182
## countrySri Lanka 0.0001
## countrySwaziland 0.0000
## countrySweden 0.0001
## countrySwitzerland 0.0000
## countrySyria 0.0000
## countryTaiwan 0.0003
## countryTanzania 0.0000
## countryThailand 0.0003
## countryTrinidad and Tobago 0.0003
## countryTunisia 0.0003
## countryTurkey 0.0006
## countryTurkmenistan 0.0001
## countryTuvalu 0.0000
## countryUganda 0.0001
## countryUkraine 0.0009
## countryUnited Arab Emirates 0.0007
## countryUnited Kingdom 0.0148
## countryUnited States of America 0.1851
## countryUruguay 0.0004
## countryUzbekistan 0.0000
## countryVenezuela 0.0047
## countryVietnam 0.0002
## countryZimbabwe 0.0001
## relationship_statusLong-term 0.3741
## relationship_statusNo relationship 0.4576
## relationship_statusShort-term 0.0835
## relationship_length 0.2738
##
##
## Summary of Balance for Matched Data:
## Means Treated Means Control
## distance 0.0289 0.0289
## languagechinese 0.0000 0.0000
## languagedanish 0.0155 0.0155
## languageenglish 0.4935 0.4884
## languagefrench 0.0646 0.0672
## languagegerman 0.1550 0.1550
## languageitalian 0.0388 0.0413
## languagejapanese 0.0310 0.0310
## languageportuguese 0.0491 0.0491
## languagerussian 0.0181 0.0181
## languagespanish 0.1344 0.1344
## age 23.9509 24.0543
## countryAfghanistan 0.0000 0.0000
## countryAlbania 0.0000 0.0000
## countryAlgeria 0.0000 0.0000
## countryAndorra 0.0000 0.0000
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0000
## countryArgentina 0.0233 0.0233
## countryArmenia 0.0000 0.0000
## countryAruba 0.0000 0.0000
## countryAustralia 0.0336 0.0336
## countryAustria 0.0129 0.0155
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0000
## countryBahrain 0.0000 0.0000
## countryBangladesh 0.0000 0.0000
## countryBarbados 0.0000 0.0000
## countryBelarus 0.0000 0.0000
## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0000
## countryBosnia and Herzegovina 0.0000 0.0000
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0517 0.0491
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0000
## countryBurkina Faso 0.0000 0.0000
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0000
## countryCanada 0.0517 0.0672
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0129 0.0155
## countryChina 0.0000 0.0000
## countryColombia 0.0129 0.0129
## countryCosta Rica 0.0026 0.0026
## countryCote d'Ivoire 0.0000 0.0000
## countryCroatia 0.0000 0.0000
## countryCuba 0.0000 0.0000
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0000
## countryCzechia 0.0078 0.0052
## countryDenmark 0.0155 0.0155
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0000
## countryDominican Republic 0.0026 0.0000
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0000
## countryEgypt 0.0000 0.0000
## countryEl Salvador 0.0000 0.0000
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0000
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0000
## countryFinland 0.0052 0.0052
## countryFrance 0.0439 0.0439
## countryGabon 0.0000 0.0000
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0000
## countryGermany 0.1292 0.1292
## countryGhana 0.0000 0.0000
## countryGreece 0.0000 0.0000
## countryGrenada 0.0000 0.0000
## countryGuatemala 0.0052 0.0026
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0000
## countryHaiti 0.0000 0.0000
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0000
## countryHong Kong 0.0000 0.0000
## countryHungary 0.0000 0.0000
## countryIceland 0.0000 0.0000
## countryIndia 0.0000 0.0000
## countryIndonesia 0.0000 0.0000
## countryIran 0.0026 0.0000
## countryIraq 0.0000 0.0000
## countryIreland 0.0026 0.0000
## countryIsrael 0.0026 0.0000
## countryItaly 0.0413 0.0465
## countryJamaica 0.0000 0.0000
## countryJapan 0.0336 0.0310
## countryJordan 0.0000 0.0000
## countryKazakhstan 0.0000 0.0000
## countryKenya 0.0026 0.0026
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0000
## countryLatvia 0.0000 0.0000
## countryLebanon 0.0000 0.0000
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0000
## countryLuxembourg 0.0000 0.0000
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0000
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0000
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0000
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0000
## countryMexico 0.0568 0.0568
## countryMoldova 0.0000 0.0000
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0000
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0000
## countryNetherlands 0.0052 0.0026
## countryNew Zealand 0.0078 0.0052
## countryNicaragua 0.0000 0.0000
## countryNigeria 0.0000 0.0000
## countryNorway 0.0000 0.0000
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0000
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0000 0.0000
## countryParaguay 0.0000 0.0000
## countryPeru 0.0000 0.0000
## countryPhilippines 0.0052 0.0026
## countryPoland 0.0000 0.0000
## countryPortugal 0.0000 0.0000
## countryQatar 0.0000 0.0000
## countryRomania 0.0000 0.0000
## countryRussia 0.0181 0.0181
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0000
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0000
## countrySenegal 0.0000 0.0000
## countrySerbia 0.0000 0.0000
## countrySingapore 0.0026 0.0026
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0000
## countrySlovenia 0.0000 0.0000
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0026 0.0026
## countrySouth Korea 0.0000 0.0000
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0258 0.0233
## countrySri Lanka 0.0000 0.0000
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0052
## countrySwitzerland 0.0207 0.0181
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0000
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0000
## countryTrinidad and Tobago 0.0000 0.0000
## countryTunisia 0.0000 0.0000
## countryTurkey 0.0000 0.0000
## countryTurkmenistan 0.0000 0.0000
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0000
## countryUkraine 0.0026 0.0026
## countryUnited Arab Emirates 0.0000 0.0000
## countryUnited Kingdom 0.0568 0.0568
## countryUnited States of America 0.2920 0.2997
## countryUruguay 0.0026 0.0026
## countryUzbekistan 0.0000 0.0000
## countryVenezuela 0.0000 0.0000
## countryVietnam 0.0000 0.0000
## countryZimbabwe 0.0000 0.0000
## relationship_statusLong-term 0.2584 0.2481
## relationship_statusNo relationship 0.6873 0.6951
## relationship_statusShort-term 0.0543 0.0568
## relationship_length 1.1654 1.1938
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance -0.0001 0.9996 0.0000
## languagechinese 0.0000 . 0.0000
## languagedanish 0.0000 . 0.0000
## languageenglish 0.0103 . 0.0052
## languagefrench -0.0105 . 0.0026
## languagegerman 0.0000 . 0.0000
## languageitalian -0.0134 . 0.0026
## languagejapanese 0.0000 . 0.0000
## languageportuguese 0.0000 . 0.0000
## languagerussian 0.0000 . 0.0000
## languagespanish 0.0000 . 0.0000
## age -0.0162 0.9557 0.0033
## countryAfghanistan 0.0000 . 0.0000
## countryAlbania 0.0000 . 0.0000
## countryAlgeria 0.0000 . 0.0000
## countryAndorra 0.0000 . 0.0000
## countryAngola 0.0000 . 0.0000
## countryAntigua and Barbuda 0.0000 . 0.0000
## countryArgentina 0.0000 . 0.0000
## countryArmenia 0.0000 . 0.0000
## countryAruba 0.0000 . 0.0000
## countryAustralia 0.0000 . 0.0000
## countryAustria -0.0230 . 0.0026
## countryAzerbaijan 0.0000 . 0.0000
## countryBahamas, The 0.0000 . 0.0000
## countryBahrain 0.0000 . 0.0000
## countryBangladesh 0.0000 . 0.0000
## countryBarbados 0.0000 . 0.0000
## countryBelarus 0.0000 . 0.0000
## countryBelgium 0.0000 . 0.0000
## countryBelize 0.0000 . 0.0000
## countryBenin 0.0000 . 0.0000
## countryBhutan 0.0000 . 0.0000
## countryBolivia 0.0000 . 0.0000
## countryBosnia and Herzegovina 0.0000 . 0.0000
## countryBotswana 0.0000 . 0.0000
## countryBrazil 0.0117 . 0.0026
## countryBrunei 0.0000 . 0.0000
## countryBulgaria 0.0000 . 0.0000
## countryBurkina Faso 0.0000 . 0.0000
## countryBurma 0.0000 . 0.0000
## countryCabo Verde 0.0000 . 0.0000
## countryCambodia 0.0000 . 0.0000
## countryCameroon 0.0000 . 0.0000
## countryCanada -0.0703 . 0.0155
## countryCentral African Republic 0.0000 . 0.0000
## countryChile -0.0230 . 0.0026
## countryChina 0.0000 . 0.0000
## countryColombia 0.0000 . 0.0000
## countryCosta Rica 0.0000 . 0.0000
## countryCote d'Ivoire 0.0000 . 0.0000
## countryCroatia 0.0000 . 0.0000
## countryCuba 0.0000 . 0.0000
## countryCuracao 0.0000 . 0.0000
## countryCyprus 0.0000 . 0.0000
## countryCzechia 0.0296 . 0.0026
## countryDenmark 0.0000 . 0.0000
## countryDjibouti 0.0000 . 0.0000
## countryDominica 0.0000 . 0.0000
## countryDominican Republic 0.0511 . 0.0026
## countryEast Timor (see Timor-Leste) 0.0000 . 0.0000
## countryEcuador 0.0000 . 0.0000
## countryEgypt 0.0000 . 0.0000
## countryEl Salvador 0.0000 . 0.0000
## countryEquatorial Guinea 0.0000 . 0.0000
## countryEstonia 0.0000 . 0.0000
## countryEthiopia 0.0000 . 0.0000
## countryFiji 0.0000 . 0.0000
## countryFinland 0.0000 . 0.0000
## countryFrance 0.0000 . 0.0000
## countryGabon 0.0000 . 0.0000
## countryGambia, The 0.0000 . 0.0000
## countryGeorgia 0.0000 . 0.0000
## countryGermany 0.0000 . 0.0000
## countryGhana 0.0000 . 0.0000
## countryGreece 0.0000 . 0.0000
## countryGrenada 0.0000 . 0.0000
## countryGuatemala 0.0362 . 0.0026
## countryGuinea 0.0000 . 0.0000
## countryGuyana 0.0000 . 0.0000
## countryHaiti 0.0000 . 0.0000
## countryHoly See 0.0000 . 0.0000
## countryHonduras 0.0000 . 0.0000
## countryHong Kong 0.0000 . 0.0000
## countryHungary 0.0000 . 0.0000
## countryIceland 0.0000 . 0.0000
## countryIndia 0.0000 . 0.0000
## countryIndonesia 0.0000 . 0.0000
## countryIran 0.0511 . 0.0026
## countryIraq 0.0000 . 0.0000
## countryIreland 0.0511 . 0.0026
## countryIsrael 0.0511 . 0.0026
## countryItaly -0.0261 . 0.0052
## countryJamaica 0.0000 . 0.0000
## countryJapan 0.0139 . 0.0026
## countryJordan 0.0000 . 0.0000
## countryKazakhstan 0.0000 . 0.0000
## countryKenya 0.0000 . 0.0000
## countryKosovo 0.0000 . 0.0000
## countryKuwait 0.0000 . 0.0000
## countryKyrgyzstan 0.0000 . 0.0000
## countryLatvia 0.0000 . 0.0000
## countryLebanon 0.0000 . 0.0000
## countryLiberia 0.0000 . 0.0000
## countryLibya 0.0000 . 0.0000
## countryLiechtenstein 0.0000 . 0.0000
## countryLithuania 0.0000 . 0.0000
## countryLuxembourg 0.0000 . 0.0000
## countryMacau 0.0000 . 0.0000
## countryMacedonia 0.0000 . 0.0000
## countryMadagascar 0.0000 . 0.0000
## countryMalawi 0.0000 . 0.0000
## countryMalaysia 0.0000 . 0.0000
## countryMaldives 0.0000 . 0.0000
## countryMali 0.0000 . 0.0000
## countryMalta 0.0000 . 0.0000
## countryMarshall Islands 0.0000 . 0.0000
## countryMauritania 0.0000 . 0.0000
## countryMauritius 0.0000 . 0.0000
## countryMexico 0.0000 . 0.0000
## countryMoldova 0.0000 . 0.0000
## countryMonaco 0.0000 . 0.0000
## countryMontenegro 0.0000 . 0.0000
## countryMorocco 0.0000 . 0.0000
## countryMozambique 0.0000 . 0.0000
## countryNamibia 0.0000 . 0.0000
## countryNetherlands 0.0362 . 0.0026
## countryNew Zealand 0.0296 . 0.0026
## countryNicaragua 0.0000 . 0.0000
## countryNigeria 0.0000 . 0.0000
## countryNorway 0.0000 . 0.0000
## countryOman 0.0000 . 0.0000
## countryPakistan 0.0511 . 0.0026
## countryPalestinian Territories 0.0000 . 0.0000
## countryPanama 0.0000 . 0.0000
## countryParaguay 0.0000 . 0.0000
## countryPeru 0.0000 . 0.0000
## countryPhilippines 0.0362 . 0.0026
## countryPoland 0.0000 . 0.0000
## countryPortugal 0.0000 . 0.0000
## countryQatar 0.0000 . 0.0000
## countryRomania 0.0000 . 0.0000
## countryRussia 0.0000 . 0.0000
## countryRwanda 0.0000 . 0.0000
## countrySaint Lucia 0.0000 . 0.0000
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## countrySan Marino 0.0000 . 0.0000
## countrySaudi Arabia 0.0000 . 0.0000
## countrySenegal 0.0000 . 0.0000
## countrySerbia 0.0000 . 0.0000
## countrySingapore 0.0000 . 0.0000
## countrySint Maarten 0.0000 . 0.0000
## countrySlovakia 0.0000 . 0.0000
## countrySlovenia 0.0000 . 0.0000
## countrySolomon Islands 0.0000 . 0.0000
## countrySouth Africa 0.0000 . 0.0000
## countrySouth Korea 0.0000 . 0.0000
## countrySouth Sudan 0.0000 . 0.0000
## countrySpain 0.0163 . 0.0026
## countrySri Lanka 0.0000 . 0.0000
## countrySwaziland 0.0000 . 0.0000
## countrySweden -0.0511 . 0.0026
## countrySwitzerland 0.0182 . 0.0026
## countrySyria 0.0000 . 0.0000
## countryTaiwan 0.0000 . 0.0000
## countryTanzania 0.0000 . 0.0000
## countryThailand 0.0000 . 0.0000
## countryTrinidad and Tobago 0.0000 . 0.0000
## countryTunisia 0.0000 . 0.0000
## countryTurkey 0.0000 . 0.0000
## countryTurkmenistan 0.0000 . 0.0000
## countryTuvalu 0.0000 . 0.0000
## countryUganda 0.0000 . 0.0000
## countryUkraine 0.0000 . 0.0000
## countryUnited Arab Emirates 0.0000 . 0.0000
## countryUnited Kingdom 0.0000 . 0.0000
## countryUnited States of America -0.0171 . 0.0078
## countryUruguay 0.0000 . 0.0000
## countryUzbekistan 0.0000 . 0.0000
## countryVenezuela 0.0000 . 0.0000
## countryVietnam 0.0000 . 0.0000
## countryZimbabwe 0.0000 . 0.0000
## relationship_statusLong-term 0.0237 . 0.0103
## relationship_statusNo relationship -0.0168 . 0.0078
## relationship_statusShort-term -0.0114 . 0.0026
## relationship_length -0.0086 0.9637 0.0015
## eCDF Max Std. Pair Dist.
## distance 0.0026 0.0001
## languagechinese 0.0000 0.0000
## languagedanish 0.0000 0.0000
## languageenglish 0.0052 0.0517
## languagefrench 0.0026 0.0527
## languagegerman 0.0000 0.0155
## languageitalian 0.0026 0.0403
## languagejapanese 0.0000 0.0000
## languageportuguese 0.0000 0.0000
## languagerussian 0.0000 0.0052
## languagespanish 0.0000 0.0052
## age 0.0155 0.1381
## countryAfghanistan 0.0000 0.0000
## countryAlbania 0.0000 0.0000
## countryAlgeria 0.0000 0.0000
## countryAndorra 0.0000 0.0000
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0000
## countryArgentina 0.0000 0.0000
## countryArmenia 0.0000 0.0000
## countryAruba 0.0000 0.0000
## countryAustralia 0.0000 0.0052
## countryAustria 0.0026 0.0230
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0000
## countryBahrain 0.0000 0.0000
## countryBangladesh 0.0000 0.0000
## countryBarbados 0.0000 0.0000
## countryBelarus 0.0000 0.0000
## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0000
## countryBosnia and Herzegovina 0.0000 0.0000
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0026 0.0117
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0000
## countryBurkina Faso 0.0000 0.0000
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0000
## countryCanada 0.0155 0.0937
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0026 0.0230
## countryChina 0.0000 0.0000
## countryColombia 0.0000 0.0052
## countryCosta Rica 0.0000 0.0000
## countryCote d'Ivoire 0.0000 0.0000
## countryCroatia 0.0000 0.0000
## countryCuba 0.0000 0.0000
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0000
## countryCzechia 0.0026 0.0887
## countryDenmark 0.0000 0.0000
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0000
## countryDominican Republic 0.0026 0.0511
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0000
## countryEgypt 0.0000 0.0000
## countryEl Salvador 0.0000 0.0000
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0000
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0000
## countryFinland 0.0000 0.0052
## countryFrance 0.0000 0.0000
## countryGabon 0.0000 0.0000
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0000
## countryGermany 0.0000 0.0103
## countryGhana 0.0000 0.0000
## countryGreece 0.0000 0.0000
## countryGrenada 0.0000 0.0000
## countryGuatemala 0.0026 0.0362
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0000
## countryHaiti 0.0000 0.0000
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0000
## countryHong Kong 0.0000 0.0000
## countryHungary 0.0000 0.0000
## countryIceland 0.0000 0.0000
## countryIndia 0.0000 0.0000
## countryIndonesia 0.0000 0.0000
## countryIran 0.0026 0.0511
## countryIraq 0.0000 0.0000
## countryIreland 0.0026 0.0511
## countryIsrael 0.0026 0.0511
## countryItaly 0.0052 0.0521
## countryJamaica 0.0000 0.0000
## countryJapan 0.0026 0.0139
## countryJordan 0.0000 0.0000
## countryKazakhstan 0.0000 0.0000
## countryKenya 0.0000 0.0000
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0000
## countryLatvia 0.0000 0.0000
## countryLebanon 0.0000 0.0000
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0000
## countryLuxembourg 0.0000 0.0000
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0000
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0000
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0000
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0000
## countryMexico 0.0000 0.0052
## countryMoldova 0.0000 0.0000
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0000
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0000
## countryNetherlands 0.0026 0.0362
## countryNew Zealand 0.0026 0.0887
## countryNicaragua 0.0000 0.0000
## countryNigeria 0.0000 0.0000
## countryNorway 0.0000 0.0000
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0511
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0000 0.0000
## countryParaguay 0.0000 0.0000
## countryPeru 0.0000 0.0000
## countryPhilippines 0.0026 0.1085
## countryPoland 0.0000 0.0000
## countryPortugal 0.0000 0.0000
## countryQatar 0.0000 0.0000
## countryRomania 0.0000 0.0000
## countryRussia 0.0000 0.0052
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0000
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0000
## countrySenegal 0.0000 0.0000
## countrySerbia 0.0000 0.0000
## countrySingapore 0.0000 0.0000
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0000
## countrySlovenia 0.0000 0.0000
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0000 0.0000
## countrySouth Korea 0.0000 0.0000
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0026 0.0163
## countrySri Lanka 0.0000 0.0000
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.1533
## countrySwitzerland 0.0026 0.0182
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0000
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0000
## countryTrinidad and Tobago 0.0000 0.0000
## countryTunisia 0.0000 0.0000
## countryTurkey 0.0000 0.0000
## countryTurkmenistan 0.0000 0.0000
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0000
## countryUkraine 0.0000 0.0000
## countryUnited Arab Emirates 0.0000 0.0000
## countryUnited Kingdom 0.0000 0.0052
## countryUnited States of America 0.0078 0.0399
## countryUruguay 0.0000 0.0000
## countryUzbekistan 0.0000 0.0000
## countryVenezuela 0.0000 0.0000
## countryVietnam 0.0000 0.0000
## countryZimbabwe 0.0000 0.0000
## relationship_statusLong-term 0.0103 0.0473
## relationship_statusNo relationship 0.0078 0.0391
## relationship_statusShort-term 0.0026 0.0114
## relationship_length 0.0078 0.1113
##
## Sample Sizes:
## Control Treated
## All 46746 390
## Matched 387 387
## Unmatched 46359 3
## Discarded 0 0round(tail(summary_nnm_10$sum.matched), 2)## Means Treated Means Control Std. Mean Diff.
## countryVietnam 0.00 0.00 0.00
## countryZimbabwe 0.00 0.00 0.00
## relationship_statusLong-term 0.26 0.25 0.02
## relationship_statusNo relationship 0.69 0.70 -0.02
## relationship_statusShort-term 0.05 0.06 -0.01
## relationship_length 1.17 1.19 -0.01
## Var. Ratio eCDF Mean eCDF Max
## countryVietnam NA 0.00 0.00
## countryZimbabwe NA 0.00 0.00
## relationship_statusLong-term NA 0.01 0.01
## relationship_statusNo relationship NA 0.01 0.01
## relationship_statusShort-term NA 0.00 0.00
## relationship_length 0.96 0.00 0.01
## Std. Pair Dist.
## countryVietnam 0.00
## countryZimbabwe 0.00
## relationship_statusLong-term 0.05
## relationship_statusNo relationship 0.04
## relationship_statusShort-term 0.01
## relationship_length 0.11bal.tab(nnm_10, m.threshold = 0.1, un = T) #smd## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "nearest", caliper = 0.1)
##
## Balance Measures
## Type Diff.Un Diff.Adj
## distance Distance 0.7498 -0.0001
## language_chinese Binary -0.0767 0.0000
## language_danish Binary -0.1062 0.0000
## language_english Binary 0.5402 0.0103
## language_french Binary -0.5356 -0.0105
## language_german Binary 0.0406 0.0000
## language_italian Binary -0.1272 -0.0134
## language_japanese Binary 0.0392 0.0000
## language_portuguese Binary -0.1115 0.0000
## language_russian Binary 0.0116 0.0000
## language_spanish Binary -0.2782 0.0000
## age Contin. -0.1964 -0.0162
## country_Afghanistan Binary -0.0080 0.0000
## country_Albania Binary -0.0093 0.0000
## country_Algeria Binary 0.0444 0.0000
## country_Andorra Binary -0.0192 0.0000
## country_Angola Binary -0.0066 0.0000
## country_Antigua and Barbuda Binary -0.0093 0.0000
## country_Argentina Binary 0.0391 0.0000
## country_Armenia Binary -0.0093 0.0000
## country_Aruba Binary -0.0066 0.0000
## country_Australia Binary 0.1256 0.0000
## country_Austria Binary 0.0014 -0.0230
## country_Azerbaijan Binary -0.0046 0.0000
## country_Bahamas, The Binary -0.0104 0.0000
## country_Bahrain Binary -0.0080 0.0000
## country_Bangladesh Binary -0.0046 0.0000
## country_Barbados Binary -0.0093 0.0000
## country_Belarus Binary -0.0312 0.0000
## country_Belgium Binary -0.0964 0.0000
## country_Belize Binary -0.0080 0.0000
## country_Benin Binary -0.0080 0.0000
## country_Bhutan Binary -0.0046 0.0000
## country_Bolivia Binary -0.0360 0.0000
## country_Bosnia and Herzegovina Binary -0.0161 0.0000
## country_Botswana Binary -0.0046 0.0000
## country_Brazil Binary -0.0778 0.0117
## country_Brunei Binary -0.0046 0.0000
## country_Bulgaria Binary -0.0254 0.0000
## country_Burkina Faso Binary -0.0080 0.0000
## country_Burma Binary -0.0066 0.0000
## country_Cabo Verde Binary -0.0046 0.0000
## country_Cambodia Binary -0.0046 0.0000
## country_Cameroon Binary -0.0147 0.0000
## country_Canada Binary 0.1002 -0.0703
## country_Central African Republic Binary -0.0066 0.0000
## country_Chile Binary 0.0137 -0.0230
## country_China Binary -0.0748 0.0000
## country_Colombia Binary -0.1173 0.0000
## country_Costa Rica Binary -0.0204 0.0000
## country_Cote d'Ivoire Binary -0.0131 0.0000
## country_Croatia Binary -0.0208 0.0000
## country_Cuba Binary -0.0114 0.0000
## country_Curacao Binary -0.0046 0.0000
## country_Cyprus Binary -0.0080 0.0000
## country_Czechia Binary 0.0792 0.0296
## country_Denmark Binary -0.1124 0.0000
## country_Djibouti Binary -0.0046 0.0000
## country_Dominica Binary -0.0080 0.0000
## country_Dominican Republic Binary 0.0059 0.0511
## country_East Timor (see Timor-Leste) Binary -0.0046 0.0000
## country_Ecuador Binary -0.0789 0.0000
## country_Egypt Binary -0.0114 0.0000
## country_El Salvador Binary -0.0446 0.0000
## country_Equatorial Guinea Binary -0.0046 0.0000
## country_Estonia Binary -0.0250 0.0000
## country_Ethiopia Binary -0.0046 0.0000
## country_Fiji Binary -0.0093 0.0000
## country_Finland Binary 0.0490 0.0000
## country_France Binary -0.5874 0.0000
## country_Gabon Binary -0.0093 0.0000
## country_Gambia, The Binary -0.0046 0.0000
## country_Georgia Binary -0.0131 0.0000
## country_Germany Binary 0.0252 0.0000
## country_Ghana Binary -0.0104 0.0000
## country_Greece Binary -0.0232 0.0000
## country_Grenada Binary -0.0114 0.0000
## country_Guatemala Binary 0.0251 0.0362
## country_Guinea Binary -0.0046 0.0000
## country_Guyana Binary -0.0154 0.0000
## country_Haiti Binary -0.0123 0.0000
## country_Holy See Binary -0.0066 0.0000
## country_Honduras Binary -0.0308 0.0000
## country_Hong Kong Binary -0.0271 0.0000
## country_Hungary Binary -0.0279 0.0000
## country_Iceland Binary -0.0197 0.0000
## country_India Binary -0.0479 0.0000
## country_Indonesia Binary -0.0308 0.0000
## country_Iran Binary 0.0418 0.0511
## country_Iraq Binary -0.0080 0.0000
## country_Ireland Binary -0.0237 0.0511
## country_Israel Binary 0.0312 0.0511
## country_Italy Binary -0.1030 -0.0261
## country_Jamaica Binary -0.0186 0.0000
## country_Japan Binary 0.0622 0.0139
## country_Jordan Binary -0.0080 0.0000
## country_Kazakhstan Binary -0.0208 0.0000
## country_Kenya Binary 0.0431 0.0000
## country_Kosovo Binary -0.0046 0.0000
## country_Kuwait Binary -0.0066 0.0000
## country_Kyrgyzstan Binary -0.0080 0.0000
## country_Latvia Binary -0.0213 0.0000
## country_Lebanon Binary -0.0139 0.0000
## country_Liberia Binary -0.0046 0.0000
## country_Libya Binary -0.0066 0.0000
## country_Liechtenstein Binary -0.0066 0.0000
## country_Lithuania Binary -0.0237 0.0000
## country_Luxembourg Binary -0.0325 0.0000
## country_Macau Binary -0.0066 0.0000
## country_Macedonia Binary -0.0046 0.0000
## country_Madagascar Binary -0.0114 0.0000
## country_Malawi Binary -0.0046 0.0000
## country_Malaysia Binary -0.0363 0.0000
## country_Maldives Binary -0.0066 0.0000
## country_Mali Binary -0.0066 0.0000
## country_Malta Binary -0.0139 0.0000
## country_Marshall Islands Binary -0.0046 0.0000
## country_Mauritania Binary -0.0046 0.0000
## country_Mauritius Binary -0.0114 0.0000
## country_Mexico Binary -0.1505 0.0000
## country_Moldova Binary -0.0080 0.0000
## country_Monaco Binary -0.0066 0.0000
## country_Montenegro Binary -0.0046 0.0000
## country_Morocco Binary -0.0286 0.0000
## country_Mozambique Binary -0.0046 0.0000
## country_Namibia Binary -0.0114 0.0000
## country_Netherlands Binary 0.0227 0.0362
## country_New Zealand Binary 0.0474 0.0296
## country_Nicaragua Binary 0.0367 0.0000
## country_Nigeria Binary -0.0218 0.0000
## country_Norway Binary -0.0325 0.0000
## country_Oman Binary -0.0066 0.0000
## country_Pakistan Binary 0.0452 0.0511
## country_Palestinian Territories Binary -0.0046 0.0000
## country_Panama Binary -0.0394 0.0000
## country_Paraguay Binary -0.0286 0.0000
## country_Peru Binary -0.0949 0.0000
## country_Philippines Binary 0.0451 0.0362
## country_Poland Binary -0.0254 0.0000
## country_Portugal Binary -0.0727 0.0000
## country_Qatar Binary -0.0131 0.0000
## country_Romania Binary -0.0380 0.0000
## country_Russia Binary 0.0406 0.0000
## country_Rwanda Binary -0.0046 0.0000
## country_Saint Lucia Binary -0.0093 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0046 0.0000
## country_San Marino Binary -0.0046 0.0000
## country_Saudi Arabia Binary -0.0147 0.0000
## country_Senegal Binary -0.0167 0.0000
## country_Serbia Binary -0.0192 0.0000
## country_Singapore Binary 0.0177 0.0000
## country_Sint Maarten Binary -0.0066 0.0000
## country_Slovakia Binary -0.0167 0.0000
## country_Slovenia Binary -0.0186 0.0000
## country_Solomon Islands Binary -0.0046 0.0000
## country_South Africa Binary -0.0009 0.0000
## country_South Korea Binary -0.0174 0.0000
## country_South Sudan Binary -0.0046 0.0000
## country_Spain Binary -0.1151 0.0163
## country_Sri Lanka Binary -0.0104 0.0000
## country_Swaziland Binary -0.0046 0.0000
## country_Sweden Binary 0.0012 -0.0511
## country_Switzerland Binary -0.0000 0.0182
## country_Syria Binary -0.0046 0.0000
## country_Taiwan Binary -0.0186 0.0000
## country_Tanzania Binary -0.0066 0.0000
## country_Thailand Binary -0.0186 0.0000
## country_Trinidad and Tobago Binary -0.0186 0.0000
## country_Tunisia Binary -0.0180 0.0000
## country_Turkey Binary -0.0254 0.0000
## country_Turkmenistan Binary -0.0104 0.0000
## country_Tuvalu Binary -0.0046 0.0000
## country_Uganda Binary -0.0093 0.0000
## country_Ukraine Binary 0.0177 0.0000
## country_United Arab Emirates Binary -0.0271 0.0000
## country_United Kingdom Binary 0.0643 0.0000
## country_United States of America Binary 0.4080 -0.0171
## country_Uruguay Binary 0.0076 0.0000
## country_Uzbekistan Binary -0.0046 0.0000
## country_Venezuela Binary -0.0694 0.0000
## country_Vietnam Binary -0.0154 0.0000
## country_Zimbabwe Binary -0.0093 0.0000
## relationship_status_Long-term Binary -0.8568 0.0237
## relationship_status_No relationship Binary 0.9892 -0.0168
## relationship_status_Short-term Binary -0.3698 -0.0114
## relationship_length Contin. -0.3515 -0.0086
## M.Threshold
## distance Balanced, <0.1
## language_chinese Balanced, <0.1
## language_danish Balanced, <0.1
## language_english Balanced, <0.1
## language_french Balanced, <0.1
## language_german Balanced, <0.1
## language_italian Balanced, <0.1
## language_japanese Balanced, <0.1
## language_portuguese Balanced, <0.1
## language_russian Balanced, <0.1
## language_spanish Balanced, <0.1
## age Balanced, <0.1
## country_Afghanistan Balanced, <0.1
## country_Albania Balanced, <0.1
## country_Algeria Balanced, <0.1
## country_Andorra Balanced, <0.1
## country_Angola Balanced, <0.1
## country_Antigua and Barbuda Balanced, <0.1
## country_Argentina Balanced, <0.1
## country_Armenia Balanced, <0.1
## country_Aruba Balanced, <0.1
## country_Australia Balanced, <0.1
## country_Austria Balanced, <0.1
## country_Azerbaijan Balanced, <0.1
## country_Bahamas, The Balanced, <0.1
## country_Bahrain Balanced, <0.1
## country_Bangladesh Balanced, <0.1
## country_Barbados Balanced, <0.1
## country_Belarus Balanced, <0.1
## country_Belgium Balanced, <0.1
## country_Belize Balanced, <0.1
## country_Benin Balanced, <0.1
## country_Bhutan Balanced, <0.1
## country_Bolivia Balanced, <0.1
## country_Bosnia and Herzegovina Balanced, <0.1
## country_Botswana Balanced, <0.1
## country_Brazil Balanced, <0.1
## country_Brunei Balanced, <0.1
## country_Bulgaria Balanced, <0.1
## country_Burkina Faso Balanced, <0.1
## country_Burma Balanced, <0.1
## country_Cabo Verde Balanced, <0.1
## country_Cambodia Balanced, <0.1
## country_Cameroon Balanced, <0.1
## country_Canada Balanced, <0.1
## country_Central African Republic Balanced, <0.1
## country_Chile Balanced, <0.1
## country_China Balanced, <0.1
## country_Colombia Balanced, <0.1
## country_Costa Rica Balanced, <0.1
## country_Cote d'Ivoire Balanced, <0.1
## country_Croatia Balanced, <0.1
## country_Cuba Balanced, <0.1
## country_Curacao Balanced, <0.1
## country_Cyprus Balanced, <0.1
## country_Czechia Balanced, <0.1
## country_Denmark Balanced, <0.1
## country_Djibouti Balanced, <0.1
## country_Dominica Balanced, <0.1
## country_Dominican Republic Balanced, <0.1
## country_East Timor (see Timor-Leste) Balanced, <0.1
## country_Ecuador Balanced, <0.1
## country_Egypt Balanced, <0.1
## country_El Salvador Balanced, <0.1
## country_Equatorial Guinea Balanced, <0.1
## country_Estonia Balanced, <0.1
## country_Ethiopia Balanced, <0.1
## country_Fiji Balanced, <0.1
## country_Finland Balanced, <0.1
## country_France Balanced, <0.1
## country_Gabon Balanced, <0.1
## country_Gambia, The Balanced, <0.1
## country_Georgia Balanced, <0.1
## country_Germany Balanced, <0.1
## country_Ghana Balanced, <0.1
## country_Greece Balanced, <0.1
## country_Grenada Balanced, <0.1
## country_Guatemala Balanced, <0.1
## country_Guinea Balanced, <0.1
## country_Guyana Balanced, <0.1
## country_Haiti Balanced, <0.1
## country_Holy See Balanced, <0.1
## country_Honduras Balanced, <0.1
## country_Hong Kong Balanced, <0.1
## country_Hungary Balanced, <0.1
## country_Iceland Balanced, <0.1
## country_India Balanced, <0.1
## country_Indonesia Balanced, <0.1
## country_Iran Balanced, <0.1
## country_Iraq Balanced, <0.1
## country_Ireland Balanced, <0.1
## country_Israel Balanced, <0.1
## country_Italy Balanced, <0.1
## country_Jamaica Balanced, <0.1
## country_Japan Balanced, <0.1
## country_Jordan Balanced, <0.1
## country_Kazakhstan Balanced, <0.1
## country_Kenya Balanced, <0.1
## country_Kosovo Balanced, <0.1
## country_Kuwait Balanced, <0.1
## country_Kyrgyzstan Balanced, <0.1
## country_Latvia Balanced, <0.1
## country_Lebanon Balanced, <0.1
## country_Liberia Balanced, <0.1
## country_Libya Balanced, <0.1
## country_Liechtenstein Balanced, <0.1
## country_Lithuania Balanced, <0.1
## country_Luxembourg Balanced, <0.1
## country_Macau Balanced, <0.1
## country_Macedonia Balanced, <0.1
## country_Madagascar Balanced, <0.1
## country_Malawi Balanced, <0.1
## country_Malaysia Balanced, <0.1
## country_Maldives Balanced, <0.1
## country_Mali Balanced, <0.1
## country_Malta Balanced, <0.1
## country_Marshall Islands Balanced, <0.1
## country_Mauritania Balanced, <0.1
## country_Mauritius Balanced, <0.1
## country_Mexico Balanced, <0.1
## country_Moldova Balanced, <0.1
## country_Monaco Balanced, <0.1
## country_Montenegro Balanced, <0.1
## country_Morocco Balanced, <0.1
## country_Mozambique Balanced, <0.1
## country_Namibia Balanced, <0.1
## country_Netherlands Balanced, <0.1
## country_New Zealand Balanced, <0.1
## country_Nicaragua Balanced, <0.1
## country_Nigeria Balanced, <0.1
## country_Norway Balanced, <0.1
## country_Oman Balanced, <0.1
## country_Pakistan Balanced, <0.1
## country_Palestinian Territories Balanced, <0.1
## country_Panama Balanced, <0.1
## country_Paraguay Balanced, <0.1
## country_Peru Balanced, <0.1
## country_Philippines Balanced, <0.1
## country_Poland Balanced, <0.1
## country_Portugal Balanced, <0.1
## country_Qatar Balanced, <0.1
## country_Romania Balanced, <0.1
## country_Russia Balanced, <0.1
## country_Rwanda Balanced, <0.1
## country_Saint Lucia Balanced, <0.1
## country_Saint Vincent and the Grenadines Balanced, <0.1
## country_San Marino Balanced, <0.1
## country_Saudi Arabia Balanced, <0.1
## country_Senegal Balanced, <0.1
## country_Serbia Balanced, <0.1
## country_Singapore Balanced, <0.1
## country_Sint Maarten Balanced, <0.1
## country_Slovakia Balanced, <0.1
## country_Slovenia Balanced, <0.1
## country_Solomon Islands Balanced, <0.1
## country_South Africa Balanced, <0.1
## country_South Korea Balanced, <0.1
## country_South Sudan Balanced, <0.1
## country_Spain Balanced, <0.1
## country_Sri Lanka Balanced, <0.1
## country_Swaziland Balanced, <0.1
## country_Sweden Balanced, <0.1
## country_Switzerland Balanced, <0.1
## country_Syria Balanced, <0.1
## country_Taiwan Balanced, <0.1
## country_Tanzania Balanced, <0.1
## country_Thailand Balanced, <0.1
## country_Trinidad and Tobago Balanced, <0.1
## country_Tunisia Balanced, <0.1
## country_Turkey Balanced, <0.1
## country_Turkmenistan Balanced, <0.1
## country_Tuvalu Balanced, <0.1
## country_Uganda Balanced, <0.1
## country_Ukraine Balanced, <0.1
## country_United Arab Emirates Balanced, <0.1
## country_United Kingdom Balanced, <0.1
## country_United States of America Balanced, <0.1
## country_Uruguay Balanced, <0.1
## country_Uzbekistan Balanced, <0.1
## country_Venezuela Balanced, <0.1
## country_Vietnam Balanced, <0.1
## country_Zimbabwe Balanced, <0.1
## relationship_status_Long-term Balanced, <0.1
## relationship_status_No relationship Balanced, <0.1
## relationship_status_Short-term Balanced, <0.1
## relationship_length Balanced, <0.1
##
## Balance tally for mean differences
## count
## Balanced, <0.1 186
## Not Balanced, >0.1 0
##
## Variable with the greatest mean difference
## Variable Diff.Adj M.Threshold
## country_Canada -0.0703 Balanced, <0.1
##
## Sample sizes
## Control Treated
## All 46746 390
## Matched 387 387
## Unmatched 46359 3bal.tab(nnm_10, v.threshold = 2, un = T) #vr (can only be calculated for continuous variables)## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss,
## method = "nearest", caliper = 0.1)
##
## Balance Measures
## Type Diff.Un V.Ratio.Un Diff.Adj
## distance Distance 0.7498 4.8204 -0.0001
## language_chinese Binary -0.0767 . 0.0000
## language_danish Binary -0.1062 . 0.0000
## language_english Binary 0.5402 . 0.0103
## language_french Binary -0.5356 . -0.0105
## language_german Binary 0.0406 . 0.0000
## language_italian Binary -0.1272 . -0.0134
## language_japanese Binary 0.0392 . 0.0000
## language_portuguese Binary -0.1115 . 0.0000
## language_russian Binary 0.0116 . 0.0000
## language_spanish Binary -0.2782 . 0.0000
## age Contin. -0.1964 0.7691 -0.0162
## country_Afghanistan Binary -0.0080 . 0.0000
## country_Albania Binary -0.0093 . 0.0000
## country_Algeria Binary 0.0444 . 0.0000
## country_Andorra Binary -0.0192 . 0.0000
## country_Angola Binary -0.0066 . 0.0000
## country_Antigua and Barbuda Binary -0.0093 . 0.0000
## country_Argentina Binary 0.0391 . 0.0000
## country_Armenia Binary -0.0093 . 0.0000
## country_Aruba Binary -0.0066 . 0.0000
## country_Australia Binary 0.1256 . 0.0000
## country_Austria Binary 0.0014 . -0.0230
## country_Azerbaijan Binary -0.0046 . 0.0000
## country_Bahamas, The Binary -0.0104 . 0.0000
## country_Bahrain Binary -0.0080 . 0.0000
## country_Bangladesh Binary -0.0046 . 0.0000
## country_Barbados Binary -0.0093 . 0.0000
## country_Belarus Binary -0.0312 . 0.0000
## country_Belgium Binary -0.0964 . 0.0000
## country_Belize Binary -0.0080 . 0.0000
## country_Benin Binary -0.0080 . 0.0000
## country_Bhutan Binary -0.0046 . 0.0000
## country_Bolivia Binary -0.0360 . 0.0000
## country_Bosnia and Herzegovina Binary -0.0161 . 0.0000
## country_Botswana Binary -0.0046 . 0.0000
## country_Brazil Binary -0.0778 . 0.0117
## country_Brunei Binary -0.0046 . 0.0000
## country_Bulgaria Binary -0.0254 . 0.0000
## country_Burkina Faso Binary -0.0080 . 0.0000
## country_Burma Binary -0.0066 . 0.0000
## country_Cabo Verde Binary -0.0046 . 0.0000
## country_Cambodia Binary -0.0046 . 0.0000
## country_Cameroon Binary -0.0147 . 0.0000
## country_Canada Binary 0.1002 . -0.0703
## country_Central African Republic Binary -0.0066 . 0.0000
## country_Chile Binary 0.0137 . -0.0230
## country_China Binary -0.0748 . 0.0000
## country_Colombia Binary -0.1173 . 0.0000
## country_Costa Rica Binary -0.0204 . 0.0000
## country_Cote d'Ivoire Binary -0.0131 . 0.0000
## country_Croatia Binary -0.0208 . 0.0000
## country_Cuba Binary -0.0114 . 0.0000
## country_Curacao Binary -0.0046 . 0.0000
## country_Cyprus Binary -0.0080 . 0.0000
## country_Czechia Binary 0.0792 . 0.0296
## country_Denmark Binary -0.1124 . 0.0000
## country_Djibouti Binary -0.0046 . 0.0000
## country_Dominica Binary -0.0080 . 0.0000
## country_Dominican Republic Binary 0.0059 . 0.0511
## country_East Timor (see Timor-Leste) Binary -0.0046 . 0.0000
## country_Ecuador Binary -0.0789 . 0.0000
## country_Egypt Binary -0.0114 . 0.0000
## country_El Salvador Binary -0.0446 . 0.0000
## country_Equatorial Guinea Binary -0.0046 . 0.0000
## country_Estonia Binary -0.0250 . 0.0000
## country_Ethiopia Binary -0.0046 . 0.0000
## country_Fiji Binary -0.0093 . 0.0000
## country_Finland Binary 0.0490 . 0.0000
## country_France Binary -0.5874 . 0.0000
## country_Gabon Binary -0.0093 . 0.0000
## country_Gambia, The Binary -0.0046 . 0.0000
## country_Georgia Binary -0.0131 . 0.0000
## country_Germany Binary 0.0252 . 0.0000
## country_Ghana Binary -0.0104 . 0.0000
## country_Greece Binary -0.0232 . 0.0000
## country_Grenada Binary -0.0114 . 0.0000
## country_Guatemala Binary 0.0251 . 0.0362
## country_Guinea Binary -0.0046 . 0.0000
## country_Guyana Binary -0.0154 . 0.0000
## country_Haiti Binary -0.0123 . 0.0000
## country_Holy See Binary -0.0066 . 0.0000
## country_Honduras Binary -0.0308 . 0.0000
## country_Hong Kong Binary -0.0271 . 0.0000
## country_Hungary Binary -0.0279 . 0.0000
## country_Iceland Binary -0.0197 . 0.0000
## country_India Binary -0.0479 . 0.0000
## country_Indonesia Binary -0.0308 . 0.0000
## country_Iran Binary 0.0418 . 0.0511
## country_Iraq Binary -0.0080 . 0.0000
## country_Ireland Binary -0.0237 . 0.0511
## country_Israel Binary 0.0312 . 0.0511
## country_Italy Binary -0.1030 . -0.0261
## country_Jamaica Binary -0.0186 . 0.0000
## country_Japan Binary 0.0622 . 0.0139
## country_Jordan Binary -0.0080 . 0.0000
## country_Kazakhstan Binary -0.0208 . 0.0000
## country_Kenya Binary 0.0431 . 0.0000
## country_Kosovo Binary -0.0046 . 0.0000
## country_Kuwait Binary -0.0066 . 0.0000
## country_Kyrgyzstan Binary -0.0080 . 0.0000
## country_Latvia Binary -0.0213 . 0.0000
## country_Lebanon Binary -0.0139 . 0.0000
## country_Liberia Binary -0.0046 . 0.0000
## country_Libya Binary -0.0066 . 0.0000
## country_Liechtenstein Binary -0.0066 . 0.0000
## country_Lithuania Binary -0.0237 . 0.0000
## country_Luxembourg Binary -0.0325 . 0.0000
## country_Macau Binary -0.0066 . 0.0000
## country_Macedonia Binary -0.0046 . 0.0000
## country_Madagascar Binary -0.0114 . 0.0000
## country_Malawi Binary -0.0046 . 0.0000
## country_Malaysia Binary -0.0363 . 0.0000
## country_Maldives Binary -0.0066 . 0.0000
## country_Mali Binary -0.0066 . 0.0000
## country_Malta Binary -0.0139 . 0.0000
## country_Marshall Islands Binary -0.0046 . 0.0000
## country_Mauritania Binary -0.0046 . 0.0000
## country_Mauritius Binary -0.0114 . 0.0000
## country_Mexico Binary -0.1505 . 0.0000
## country_Moldova Binary -0.0080 . 0.0000
## country_Monaco Binary -0.0066 . 0.0000
## country_Montenegro Binary -0.0046 . 0.0000
## country_Morocco Binary -0.0286 . 0.0000
## country_Mozambique Binary -0.0046 . 0.0000
## country_Namibia Binary -0.0114 . 0.0000
## country_Netherlands Binary 0.0227 . 0.0362
## country_New Zealand Binary 0.0474 . 0.0296
## country_Nicaragua Binary 0.0367 . 0.0000
## country_Nigeria Binary -0.0218 . 0.0000
## country_Norway Binary -0.0325 . 0.0000
## country_Oman Binary -0.0066 . 0.0000
## country_Pakistan Binary 0.0452 . 0.0511
## country_Palestinian Territories Binary -0.0046 . 0.0000
## country_Panama Binary -0.0394 . 0.0000
## country_Paraguay Binary -0.0286 . 0.0000
## country_Peru Binary -0.0949 . 0.0000
## country_Philippines Binary 0.0451 . 0.0362
## country_Poland Binary -0.0254 . 0.0000
## country_Portugal Binary -0.0727 . 0.0000
## country_Qatar Binary -0.0131 . 0.0000
## country_Romania Binary -0.0380 . 0.0000
## country_Russia Binary 0.0406 . 0.0000
## country_Rwanda Binary -0.0046 . 0.0000
## country_Saint Lucia Binary -0.0093 . 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0046 . 0.0000
## country_San Marino Binary -0.0046 . 0.0000
## country_Saudi Arabia Binary -0.0147 . 0.0000
## country_Senegal Binary -0.0167 . 0.0000
## country_Serbia Binary -0.0192 . 0.0000
## country_Singapore Binary 0.0177 . 0.0000
## country_Sint Maarten Binary -0.0066 . 0.0000
## country_Slovakia Binary -0.0167 . 0.0000
## country_Slovenia Binary -0.0186 . 0.0000
## country_Solomon Islands Binary -0.0046 . 0.0000
## country_South Africa Binary -0.0009 . 0.0000
## country_South Korea Binary -0.0174 . 0.0000
## country_South Sudan Binary -0.0046 . 0.0000
## country_Spain Binary -0.1151 . 0.0163
## country_Sri Lanka Binary -0.0104 . 0.0000
## country_Swaziland Binary -0.0046 . 0.0000
## country_Sweden Binary 0.0012 . -0.0511
## country_Switzerland Binary -0.0000 . 0.0182
## country_Syria Binary -0.0046 . 0.0000
## country_Taiwan Binary -0.0186 . 0.0000
## country_Tanzania Binary -0.0066 . 0.0000
## country_Thailand Binary -0.0186 . 0.0000
## country_Trinidad and Tobago Binary -0.0186 . 0.0000
## country_Tunisia Binary -0.0180 . 0.0000
## country_Turkey Binary -0.0254 . 0.0000
## country_Turkmenistan Binary -0.0104 . 0.0000
## country_Tuvalu Binary -0.0046 . 0.0000
## country_Uganda Binary -0.0093 . 0.0000
## country_Ukraine Binary 0.0177 . 0.0000
## country_United Arab Emirates Binary -0.0271 . 0.0000
## country_United Kingdom Binary 0.0643 . 0.0000
## country_United States of America Binary 0.4080 . -0.0171
## country_Uruguay Binary 0.0076 . 0.0000
## country_Uzbekistan Binary -0.0046 . 0.0000
## country_Venezuela Binary -0.0694 . 0.0000
## country_Vietnam Binary -0.0154 . 0.0000
## country_Zimbabwe Binary -0.0093 . 0.0000
## relationship_status_Long-term Binary -0.8568 . 0.0237
## relationship_status_No relationship Binary 0.9892 . -0.0168
## relationship_status_Short-term Binary -0.3698 . -0.0114
## relationship_length Contin. -0.3515 0.5841 -0.0086
## V.Ratio.Adj V.Threshold
## distance 0.9996 Balanced, <2
## language_chinese .
## language_danish .
## language_english .
## language_french .
## language_german .
## language_italian .
## language_japanese .
## language_portuguese .
## language_russian .
## language_spanish .
## age 0.9557 Balanced, <2
## country_Afghanistan .
## country_Albania .
## country_Algeria .
## country_Andorra .
## country_Angola .
## country_Antigua and Barbuda .
## country_Argentina .
## country_Armenia .
## country_Aruba .
## country_Australia .
## country_Austria .
## country_Azerbaijan .
## country_Bahamas, The .
## country_Bahrain .
## country_Bangladesh .
## country_Barbados .
## country_Belarus .
## country_Belgium .
## country_Belize .
## country_Benin .
## country_Bhutan .
## country_Bolivia .
## country_Bosnia and Herzegovina .
## country_Botswana .
## country_Brazil .
## country_Brunei .
## country_Bulgaria .
## country_Burkina Faso .
## country_Burma .
## country_Cabo Verde .
## country_Cambodia .
## country_Cameroon .
## country_Canada .
## country_Central African Republic .
## country_Chile .
## country_China .
## country_Colombia .
## country_Costa Rica .
## country_Cote d'Ivoire .
## country_Croatia .
## country_Cuba .
## country_Curacao .
## country_Cyprus .
## country_Czechia .
## country_Denmark .
## country_Djibouti .
## country_Dominica .
## country_Dominican Republic .
## country_East Timor (see Timor-Leste) .
## country_Ecuador .
## country_Egypt .
## country_El Salvador .
## country_Equatorial Guinea .
## country_Estonia .
## country_Ethiopia .
## country_Fiji .
## country_Finland .
## country_France .
## country_Gabon .
## country_Gambia, The .
## country_Georgia .
## country_Germany .
## country_Ghana .
## country_Greece .
## country_Grenada .
## country_Guatemala .
## country_Guinea .
## country_Guyana .
## country_Haiti .
## country_Holy See .
## country_Honduras .
## country_Hong Kong .
## country_Hungary .
## country_Iceland .
## country_India .
## country_Indonesia .
## country_Iran .
## country_Iraq .
## country_Ireland .
## country_Israel .
## country_Italy .
## country_Jamaica .
## country_Japan .
## country_Jordan .
## country_Kazakhstan .
## country_Kenya .
## country_Kosovo .
## country_Kuwait .
## country_Kyrgyzstan .
## country_Latvia .
## country_Lebanon .
## country_Liberia .
## country_Libya .
## country_Liechtenstein .
## country_Lithuania .
## country_Luxembourg .
## country_Macau .
## country_Macedonia .
## country_Madagascar .
## country_Malawi .
## country_Malaysia .
## country_Maldives .
## country_Mali .
## country_Malta .
## country_Marshall Islands .
## country_Mauritania .
## country_Mauritius .
## country_Mexico .
## country_Moldova .
## country_Monaco .
## country_Montenegro .
## country_Morocco .
## country_Mozambique .
## country_Namibia .
## country_Netherlands .
## country_New Zealand .
## country_Nicaragua .
## country_Nigeria .
## country_Norway .
## country_Oman .
## country_Pakistan .
## country_Palestinian Territories .
## country_Panama .
## country_Paraguay .
## country_Peru .
## country_Philippines .
## country_Poland .
## country_Portugal .
## country_Qatar .
## country_Romania .
## country_Russia .
## country_Rwanda .
## country_Saint Lucia .
## country_Saint Vincent and the Grenadines .
## country_San Marino .
## country_Saudi Arabia .
## country_Senegal .
## country_Serbia .
## country_Singapore .
## country_Sint Maarten .
## country_Slovakia .
## country_Slovenia .
## country_Solomon Islands .
## country_South Africa .
## country_South Korea .
## country_South Sudan .
## country_Spain .
## country_Sri Lanka .
## country_Swaziland .
## country_Sweden .
## country_Switzerland .
## country_Syria .
## country_Taiwan .
## country_Tanzania .
## country_Thailand .
## country_Trinidad and Tobago .
## country_Tunisia .
## country_Turkey .
## country_Turkmenistan .
## country_Tuvalu .
## country_Uganda .
## country_Ukraine .
## country_United Arab Emirates .
## country_United Kingdom .
## country_United States of America .
## country_Uruguay .
## country_Uzbekistan .
## country_Venezuela .
## country_Vietnam .
## country_Zimbabwe .
## relationship_status_Long-term .
## relationship_status_No relationship .
## relationship_status_Short-term .
## relationship_length 0.9637 Balanced, <2
##
## Balance tally for variance ratios
## count
## Balanced, <2 3
## Not Balanced, >2 0
##
## Variable with the greatest variance ratio
## Variable V.Ratio.Adj V.Threshold
## age 0.9557 Balanced, <2
##
## Sample sizes
## Control Treated
## All 46746 390
## Matched 387 387
## Unmatched 46359 3All variables are balanced.
Visualize
# Q-Q plot
plot(nnm_25, type = "qq", interactive = FALSE, which.xs = c("age", "relationship_length"))
# sieht besser aus als vorher
# Jitter plot
plot(nnm_10, type = "jitter", interactive = FALSE)
# with cobalt package:
# distributional density/histogram
bal.plot(nnm_10, var.name = "age", which = "both", grid = T)
bal.plot(nnm_10, var.name = "relationship_length", which = "both", grid = T)
bal.plot(nnm_10, var.name = "relationship_status", which = "both", grid = T)
bal.plot(nnm_10, var.name = "language", which = "both", grid = T)
bal.plot(nnm_10, var.name = "country", which = "both", grid = T) # not readable
love.plot(bal.tab(nnm_10, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
# not readable due to country variable
# remove country variable for love plot
nnm_10_without_country = nnm
nnm_10_without_country$X[c("country")] <- NULL
love.plot(bal.tab(nnm_10_without_country, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F)
All unmatched asexuals lie within the area of common support.
Comparison of matching algorithms
smd and percent balance improvement
Comparing percent balance improvement after matching
## looking at the percent balance improvement
# nnm vs nnm_25
summary_nnm$reduction[,1]## NULLsummary_nnm_25$reduction[,1]## NULLcomp = ifelse(summary_nnm$reduction[,1]==summary_nnm_25$reduction[,1], "Yes",
summary_nnm$reduction[,1]-summary_nnm_25$reduction[,1])
table(comp)## < table of extent 0 ># nnm vs nnm_10
summary_nnm$reduction[,1]## NULLsummary_nnm_10$reduction[,1]## NULLcomp2 = ifelse(summary_nnm$reduction[,1]==summary_nnm_10$reduction[,1], "Yes",
summary_nnm$reduction[,1]-summary_nnm_10$reduction[,1])
table(comp2)## < table of extent 0 >### smd
# nnm vs nnm_25
comp_smd = ifelse(summary_nnm$sum.matched[,1]==summary_nnm_25$sum.matched[,1], "Yes",
summary_nnm$sum.matched[,1]-summary_nnm_25$sum.matched[,1])
table(comp_smd)## comp_smd
## -0.000105464372816555 -0.000112055896117597 -0.000125238942719659
## 1 1 1
## -0.000131830466020701 -0.000138421989321728 -0.000145013512622763
## 2 1 2
## -0.000164788082525874 -0.000329576165051748 -0.000342759211653804
## 1 1 1
## -0.000395491398062081 -0.000659152330103496 -0.000744842133016899
## 1 1 1
## -0.00297277700876664 -1.31830466020694e-05 -1.97745699031041e-05
## 1 4 2
## -3.29576165051752e-05 -3.95491398062081e-05 -4.61406631072463e-05
## 3 2 2
## -5.27321864082775e-05 -5.93237097093122e-05 -6.59152330103469e-06
## 1 1 13
## -6.59152330103503e-05 -7.90982796124162e-05 -8.56898029134509e-05
## 1 1 1
## -9.22813262144925e-05 -9.88728495155203e-05 0.00015160503592071
## 1 1 1
## 0.000487714178396475 0.000797574319425176 0.00129193856700283
## 1 1 1
## 0.00256410256410256 Yes
## 1 133# nnm vs nnm_10
comp2_smd = ifelse(summary_nnm$sum.matched[,1]==summary_nnm_10$sum.matched[,1], "Yes",
summary_nnm$sum.matched[,1]-summary_nnm_10$sum.matched[,1])
table(comp2_smd)## comp2_smd
## -0.000119260584376862 -0.000139137348439674 -0.000159014112502485
## 2 2 1
## -0.000178890876565294 -0.000198767640628105 -0.000238521168753725
## 1 1 1
## -0.00025839793281654 -0.000298151460942156 -0.000318028225004971
## 1 1 1
## -0.000337904989067779 -0.000377658517193402 -0.00039753528125621
## 1 1 2
## -0.000417412045319018 -0.000437288809381833 -0.000496919101570265
## 1 2 1
## -0.000993838203140529 -0.00103359173126616 -0.00119260584376862
## 1 1 1
## -0.00198767640628106 -0.00224607433909757 -0.00896442059232738
## 1 1 1
## -0.00987875173921893 -1.98767640628107e-05 -3.97535281256214e-05
## 1 12 4
## -5.96302921884312e-05 -9.93838203140526e-05 0.00126651794637064
## 2 3 1
## 0.00230570463128602 0.00240508845160003 0.00256410256410256
## 1 1 2
## 0.00389584575631086 Yes
## 1 133Setting a caliper width did bring minor improvement in balance, mostly for some of the country variables. However, improvements were only minor but both algorithms did lead to asexual participants being discarded. Since without caliper adjustment balance criteria were already sufficed and no asexual participant was lost in the process, using nearest-neighbor-matching without a caliper is chosen.
Visualize
Variable country was left out for a clearer visualization
# smds
love.plot(sexual_orientation ~ language + age +
relationship_status + relationship_length,
data = data_main_nomiss,
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F,
weights = list(w1 = get.w(om),
w2 = get.w(nnm),
w3 = get.w(nnm_25),
w4 = get.w(nnm_10)),
thresholds = c(m = .1),
sample.names = c("Before Matching", "Optimal Matching", "Nearest-Neighbor-Matching", "Nearest-Neighbor-Matching with caliper = 0.25", "Nearest-Neighbor-Matching with caliper = 0.10"),
var.names = v,
s.d.denom = "treated")
# variance ratios
# alternatve variable names
v.vr = data.frame(old = c("distance", "age",
"relationship_length"),
new = c("Propensity scores", "Age", "Relationship length"))
love.plot(sexual_orientation ~ language + age +
relationship_status + relationship_length,
data = data_main_nomiss,
stat = "variance.ratios",
grid = T,
stars = "raw",
abs = F,
thresholds = c(v = 2),
weights = list(w1 = get.w(om),
w2 = get.w(nnm),
w3 = get.w(nnm_25),
w4 = get.w(nnm_10)),
sample.names = c("Before Matching", "Optimal Matching", "Nearest-Neighbor-Matching", "Nearest-Neighbor-Matching with caliper = 0.25", "Nearest-Neighbor-Matching with caliper = 0.10"),
var.names = v.vr,
s.d.denom = "treated") 
Comparison of NNM algorithms
# smds
love.plot(sexual_orientation ~ language + age +
relationship_status + relationship_length,
data = data_main_nomiss,
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F,
weights = list(w1 = get.w(nnm),
w2 = get.w(nnm_25),
w3 = get.w(nnm_10)),
thresholds = c(m = .1),
sample.names = c("Unadjusted", "Nearest-Neighbor-Matching", "NNM 0.25", "NNM 0.10")) ## Note: 's.d.denom' not specified; assuming "Asexual" for w1, "pooled" for w2, and "pooled" for w3.
# variance ratios
love.plot(sexual_orientation ~ language + age +
relationship_status + relationship_length,
data = data_main_nomiss,
stat = "variance.ratios",
grid = T,
stars = "raw",
abs = F,
weights = list(w1 = get.w(om),
w2 = get.w(nnm_25),
w3 = get.w(nnm_10)),
sample.names = c("Unadjusted","Nearest-Neighbor-Matching", "NNM 0.25", "NNM 0.10")) 
# stat = "variance.ratios"
# add confidence interval: +
# geom_errorbar(aes(ymin=lower,ymax=upper))country and language
create subsamples
# create subsamples based on sexual orientation
asexual_nnm = nnm_data %>% filter(sexual_orientation == "Asexual")
heterosex_nnm = nnm_data %>% filter(sexual_orientation =="Straight/Heterosexual")
# match subsamples based on assigned subclass (propensity-score matched pairs will be matched)
matched = inner_join(asexual_nnm, heterosex_nnm, by = "subclass")country
# create variable indicating whether pair comes from same country, if that is the case country is printed
matched$same_country = ifelse(matched$country.x == matched$country.y, matched$country.x, "no")
# how many pairs per country
table(matched$same_country) ##
## Argentina Australia Austria
## 9 12 5
## Brazil Canada Chile
## 19 19 5
## Colombia Costa Rica Czechia
## 4 1 1
## Denmark Finland France
## 6 1 17
## Germany Guatemala Italy
## 48 1 15
## Japan Kenya Mexico
## 13 1 21
## Netherlands New Zealand no
## 1 1 32
## Russia Singapore South Africa
## 6 1 1
## Spain Switzerland Ukraine
## 9 7 1
## United Kingdom United States of America Uruguay
## 21 111 1# countries of pairs from differing countries
matched$country_1 = ifelse(matched$country.x != matched$country.y, matched$country.x, "no")
matched$country_2 = ifelse(matched$country.x != matched$country.y, matched$country.y, "no")
# table
xtabs(~country_1 + country_2, matched) ## country_2
## country_1 Australia Austria Canada Chile Colombia Czechia
## Algeria 0 0 0 0 0 1
## Australia 0 0 0 0 0 0
## Brazil 0 0 0 0 0 0
## Canada 0 0 0 0 0 0
## Colombia 0 0 1 0 0 0
## Czechia 1 0 1 0 0 0
## Dominican Republic 0 0 0 0 0 0
## Finland 0 0 0 0 0 0
## Germany 0 0 0 0 0 0
## Guatemala 0 0 0 1 0 0
## Iran 0 0 0 0 0 0
## Ireland 0 0 0 0 0 0
## Israel 0 0 0 0 0 0
## Italy 0 0 0 0 0 0
## Japan 0 0 0 0 0 0
## Mexico 0 0 1 0 0 0
## Netherlands 0 0 1 0 0 0
## New Zealand 0 0 1 0 1 0
## Nicaragua 0 0 0 0 0 1
## no 0 0 0 0 0 0
## Pakistan 0 0 0 0 0 0
## Philippines 0 0 0 0 0 0
## Russia 0 0 0 0 0 0
## Spain 0 0 1 0 0 0
## Sweden 0 0 0 0 0 0
## Switzerland 0 0 1 0 0 0
## United Kingdom 0 1 0 0 0 0
## United States of America 0 0 0 0 0 1
## country_2
## country_1 Finland Germany Italy Mexico New Zealand no
## Algeria 0 0 0 0 0 0
## Australia 0 0 0 0 0 0
## Brazil 0 1 0 0 0 0
## Canada 0 0 0 0 0 0
## Colombia 0 0 0 0 0 0
## Czechia 0 0 0 0 0 0
## Dominican Republic 0 0 0 0 1 0
## Finland 0 0 1 0 0 0
## Germany 0 0 0 0 0 0
## Guatemala 0 0 0 0 0 0
## Iran 0 0 0 1 0 0
## Ireland 0 0 1 0 0 0
## Israel 0 0 0 0 0 0
## Italy 0 1 0 0 0 0
## Japan 0 0 0 0 0 0
## Mexico 0 0 0 0 0 0
## Netherlands 0 0 0 0 0 0
## New Zealand 0 0 0 0 0 0
## Nicaragua 0 0 0 0 0 0
## no 0 0 0 0 0 358
## Pakistan 0 0 1 0 0 0
## Philippines 0 0 0 0 0 0
## Russia 1 0 0 0 0 0
## Spain 0 0 0 0 0 0
## Sweden 0 0 0 0 0 0
## Switzerland 0 0 0 0 0 0
## United Kingdom 0 0 0 0 0 0
## United States of America 0 0 0 0 0 0
## country_2
## country_1 Philippines Russia Sweden United Kingdom
## Algeria 0 0 0 0
## Australia 0 0 0 0
## Brazil 0 0 0 0
## Canada 0 0 0 0
## Colombia 0 0 0 0
## Czechia 0 0 0 0
## Dominican Republic 0 0 0 0
## Finland 0 0 0 0
## Germany 0 1 1 0
## Guatemala 0 0 0 0
## Iran 0 0 0 0
## Ireland 0 0 0 0
## Israel 0 0 0 0
## Italy 0 0 0 0
## Japan 0 0 1 0
## Mexico 0 0 0 0
## Netherlands 0 0 0 0
## New Zealand 0 0 0 0
## Nicaragua 0 0 0 0
## no 0 0 0 0
## Pakistan 0 0 0 0
## Philippines 0 0 0 1
## Russia 0 0 0 0
## Spain 0 0 0 0
## Sweden 0 0 0 0
## Switzerland 0 0 0 0
## United Kingdom 0 0 0 0
## United States of America 1 0 0 0
## country_2
## country_1 United States of America
## Algeria 0
## Australia 1
## Brazil 0
## Canada 1
## Colombia 0
## Czechia 0
## Dominican Republic 0
## Finland 0
## Germany 0
## Guatemala 0
## Iran 0
## Ireland 0
## Israel 1
## Italy 0
## Japan 0
## Mexico 0
## Netherlands 0
## New Zealand 0
## Nicaragua 0
## no 0
## Pakistan 0
## Philippines 1
## Russia 0
## Spain 0
## Sweden 1
## Switzerland 0
## United Kingdom 0
## United States of America 0# how many pairs share same country?
sum(matched$same_country != "no") # 358## [1] 358sum(matched$same_country != "no")/nrow(matched) # 92%## [1] 0.9179487language
# create variable indicating whether pair answered survey in same language, if that is the case that language is printed
matched$same_language = ifelse(matched$language.x == matched$language.y, matched$language.x, "no")
# how many pairs per language
table(matched$same_language) ##
## danish english french german italian japanese no
## 6 188 23 57 14 12 14
## portuguese russian spanish
## 19 6 51# countries of pairs with different languages
matched$language_1 = ifelse(matched$language.x != matched$language.y, matched$language.x, "no")
matched$language_2 = ifelse(matched$language.x != matched$language.y, matched$language.y, "no")
# table
xtabs(~language_1 + language_2, matched) ## language_2
## language_1 english french german italian no russian spanish
## english 0 0 3 2 0 0 1
## french 2 0 0 0 0 0 0
## german 1 1 0 0 0 1 0
## italian 0 1 0 0 0 0 0
## no 0 0 0 0 376 0 0
## russian 1 0 0 0 0 0 0
## spanish 0 1 0 0 0 0 0# how many pairs share same language?
sum(matched$same_language != "no") # 376## [1] 376sum(matched$same_language != "no")/nrow(matched) # 96%## [1] 0.9641026NNM without a caliper selected as matching algorithm
overview
describe.by(nnm_data,nnm_data$sexual_orientation)## Warning: describe.by is deprecated. Please use the describeBy function##
## Descriptive statistics by group
## group: Straight/Heterosexual
## vars n mean sd median trimmed
## id 1 390 44851.93 22220.12 38591.50 45170.38
## language* 2 390 3.89 2.53 2.00 3.51
## age 3 390 24.12 6.61 22.00 23.01
## sex* 4 390 1.00 0.00 1.00 1.00
## country* 5 390 18.31 10.24 16.00 18.82
## relationship_status* 6 390 1.81 0.52 2.00 1.82
## relationship_length 7 390 1.18 3.38 0.00 0.26
## sexual_orientation* 8 390 1.00 0.00 1.00 1.00
## pref_imp_ks 9 390 5.54 0.55 5.50 5.63
## pref_imp_att 10 390 3.85 1.15 4.00 3.92
## pref_imp_fs 11 390 4.36 1.02 4.50 4.41
## pref_imp_ca 12 390 4.37 0.97 4.50 4.43
## pref_imp_ei 13 390 4.89 1.03 5.00 5.03
## pref_imp_sexually_experienced 14 390 2.62 1.93 3.00 2.55
## distance 15 390 0.03 0.03 0.02 0.03
## weights 16 390 1.00 0.00 1.00 1.00
## subclass* 17 390 195.50 112.73 195.50 195.50
## mad min max range skew kurtosis
## id 14329.33 32.0 87641.00 87609.00 0.12 -0.42
## language* 1.48 1.0 9.00 8.00 1.06 -0.35
## age 5.93 18.0 52.00 34.00 1.38 1.56
## sex* 0.00 1.0 1.00 0.00 NaN NaN
## country* 16.31 1.0 31.00 30.00 -0.14 -1.46
## relationship_status* 0.00 1.0 3.00 2.00 -0.23 0.08
## relationship_length 0.00 0.0 26.00 26.00 3.83 16.59
## sexual_orientation* 0.00 1.0 1.00 0.00 NaN NaN
## pref_imp_ks 0.74 3.5 6.00 2.50 -1.14 0.78
## pref_imp_att 0.74 0.0 6.00 6.00 -0.61 0.76
## pref_imp_fs 0.74 0.0 6.00 6.00 -0.80 1.62
## pref_imp_ca 0.74 1.5 6.00 4.50 -0.61 0.26
## pref_imp_ei 0.74 0.0 6.00 6.00 -1.23 2.25
## pref_imp_sexually_experienced 2.97 0.0 6.00 6.00 0.08 -1.12
## distance 0.02 0.0 0.24 0.24 2.53 12.16
## weights 0.00 1.0 1.00 0.00 NaN NaN
## subclass* 144.55 1.0 390.00 389.00 0.00 -1.21
## se
## id 1125.16
## language* 0.13
## age 0.33
## sex* 0.00
## country* 0.52
## relationship_status* 0.03
## relationship_length 0.17
## sexual_orientation* 0.00
## pref_imp_ks 0.03
## pref_imp_att 0.06
## pref_imp_fs 0.05
## pref_imp_ca 0.05
## pref_imp_ei 0.05
## pref_imp_sexually_experienced 0.10
## distance 0.00
## weights 0.00
## subclass* 5.71
## ------------------------------------------------------------
## group: Asexual
## vars n mean sd median trimmed
## id 1 390 51216.21 22953.78 48601.50 51884.99
## language* 2 390 3.88 2.53 2.00 3.49
## age 3 390 23.94 6.40 22.00 22.83
## sex* 4 390 1.00 0.00 1.00 1.00
## country* 5 390 22.82 12.58 23.00 23.47
## relationship_status* 6 390 1.80 0.52 2.00 1.80
## relationship_length 7 390 1.16 3.32 0.00 0.27
## sexual_orientation* 8 390 2.00 0.00 2.00 2.00
## pref_imp_ks 9 390 5.44 0.71 5.50 5.57
## pref_imp_att 10 390 3.15 1.54 3.50 3.24
## pref_imp_fs 11 390 4.12 1.20 4.50 4.21
## pref_imp_ca 12 390 3.97 1.15 4.00 4.03
## pref_imp_ei 13 390 4.91 1.03 5.00 5.05
## pref_imp_sexually_experienced 14 390 1.37 1.85 0.00 1.05
## distance 15 390 0.03 0.03 0.02 0.03
## weights 16 390 1.00 0.00 1.00 1.00
## subclass* 17 390 195.50 112.73 195.50 195.50
## mad min max range skew kurtosis
## id 17406.47 296 94667.00 94371.00 -0.10 -0.38
## language* 1.48 1 9.00 8.00 1.06 -0.34
## age 5.93 18 48.00 30.00 1.41 1.65
## sex* 0.00 1 1.00 0.00 NaN NaN
## country* 19.27 1 38.00 37.00 -0.17 -1.48
## relationship_status* 0.00 1 3.00 2.00 -0.22 -0.02
## relationship_length 0.00 0 28.00 28.00 4.09 19.98
## sexual_orientation* 0.00 2 2.00 0.00 NaN NaN
## pref_imp_ks 0.74 2 6.00 4.00 -1.65 3.26
## pref_imp_att 1.48 0 6.00 6.00 -0.42 -0.45
## pref_imp_fs 1.11 0 6.00 6.00 -0.81 0.83
## pref_imp_ca 0.74 0 6.00 6.00 -0.50 0.35
## pref_imp_ei 0.74 0 6.00 6.00 -1.26 2.12
## pref_imp_sexually_experienced 0.00 0 6.00 6.00 1.09 -0.06
## distance 0.02 0 0.24 0.24 2.56 12.41
## weights 0.00 1 1.00 0.00 NaN NaN
## subclass* 144.55 1 390.00 389.00 0.00 -1.21
## se
## id 1162.31
## language* 0.13
## age 0.32
## sex* 0.00
## country* 0.64
## relationship_status* 0.03
## relationship_length 0.17
## sexual_orientation* 0.00
## pref_imp_ks 0.04
## pref_imp_att 0.08
## pref_imp_fs 0.06
## pref_imp_ca 0.06
## pref_imp_ei 0.05
## pref_imp_sexually_experienced 0.09
## distance 0.00
## weights 0.00
## subclass* 5.712. PSM for self-ratings
Check for missings in covariates to be matched
psm cannot handle missings covariates: language, age, country, relationship status, relationship length
# MatchIt does not allow missing values
data_main_nomiss_self <- data_main %>% select(id, language, age, sex, country, relationship_status, relationship_length, sexual_orientation,
self_ks, self_att, self_fs,self_ca, self_ei, self_sexually_experienced) %>%
na.omit()
table(is.na(data_main_nomiss_self)) # no more NAs in data set##
## FALSE
## 636216Check if correct variable type
typeof(data_main_nomiss_self$sexual_orientation) # is variable of type character, but for PSM it needs to be a factor## [1] "character"data_main_nomiss_self$sexual_orientation = as.factor(data_main_nomiss_self$sexual_orientation) # convert to factor
levels(data_main_nomiss_self$sexual_orientation) # check levels of factor## [1] "Asexual" "Straight/Heterosexual"data_main_nomiss_self$sexual_orientation = factor(data_main_nomiss_self$sexual_orientation,
levels=rev(levels(data_main_nomiss_self$sexual_orientation))) # reverse order of factor levels
levels(data_main_nomiss_self$sexual_orientation) # check factor level order## [1] "Straight/Heterosexual" "Asexual"Matching
Matching with nearest-neighbor-algortihm without caliper
nnm_self <- matchit(sexual_orientation ~ language + age + country + relationship_status + relationship_length, method = "nearest", data = data_main_nomiss_self)
nnm_self_data <- match.data(nnm_self)
nrow(nnm_self_data) # 772 observations## [1] 772table(nnm_self_data$subclass) # data includes only pairs of two observations##
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 381 382 383 384 385 386
## 2 2 2 2 2 2dim(nnm_self_data) # 772 observations and 17 variables## [1] 772 17No asexual unmatched.
Check balance
summary_nnm_self = summary(nnm_self, standardize = T)
print(summary_nnm_self)##
## Call:
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss_self,
## method = "nearest")
##
## Summary of Balance for All Data:
## Means Treated Means Control
## distance 0.0309 0.0083
## languagechinese 0.0026 0.0062
## languagedanish 0.0181 0.0296
## languageenglish 0.4948 0.2302
## languagefrench 0.0674 0.1882
## languagegerman 0.1580 0.1463
## languageitalian 0.0415 0.0647
## languagejapanese 0.0285 0.0242
## languageportuguese 0.0492 0.0726
## languagerussian 0.0181 0.0178
## languagespanish 0.1218 0.2203
## age 24.1606 25.3381
## countryAfghanistan 0.0000 0.0000
## countryAlbania 0.0000 0.0001
## countryAlgeria 0.0026 0.0004
## countryAndorra 0.0000 0.0004
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0001
## countryArgentina 0.0259 0.0158
## countryArmenia 0.0000 0.0001
## countryAruba 0.0000 0.0000
## countryAustralia 0.0337 0.0111
## countryAustria 0.0130 0.0133
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0001
## countryBahrain 0.0000 0.0001
## countryBarbados 0.0000 0.0001
## countryBelarus 0.0000 0.0012
## countryBelgium 0.0000 0.0090
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0012
## countryBosnia and Herzegovina 0.0000 0.0002
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0518 0.0682
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0006
## countryBurkina Faso 0.0000 0.0001
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0002
## countryCanada 0.0518 0.0291
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0104 0.0106
## countryChina 0.0026 0.0059
## countryColombia 0.0130 0.0247
## countryCosta Rica 0.0026 0.0033
## countryCote d'Ivoire 0.0000 0.0002
## countryCroatia 0.0000 0.0004
## countryCuba 0.0000 0.0001
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0001
## countryCzechia 0.0078 0.0008
## countryDenmark 0.0181 0.0304
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0001
## countryDominican Republic 0.0026 0.0023
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0059
## countryEgypt 0.0000 0.0002
## countryEl Salvador 0.0000 0.0018
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0006
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0001
## countryFinland 0.0052 0.0016
## countryFrance 0.0466 0.1573
## countryGabon 0.0000 0.0001
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0002
## countryGermany 0.1295 0.1255
## countryGhana 0.0000 0.0001
## countryGreece 0.0000 0.0005
## countryGrenada 0.0000 0.0001
## countryGuatemala 0.0052 0.0032
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0003
## countryHaiti 0.0000 0.0002
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0010
## countryHong Kong 0.0000 0.0008
## countryHungary 0.0000 0.0008
## countryIceland 0.0000 0.0004
## countryIndia 0.0000 0.0022
## countryIndonesia 0.0000 0.0010
## countryIran 0.0026 0.0005
## countryIraq 0.0000 0.0001
## countryIreland 0.0026 0.0039
## countryIsrael 0.0026 0.0010
## countryItaly 0.0440 0.0630
## countryJamaica 0.0000 0.0003
## countryJapan 0.0337 0.0246
## countryJordan 0.0000 0.0001
## countryKazakhstan 0.0000 0.0005
## countryKenya 0.0000 0.0004
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0000
## countryLatvia 0.0000 0.0004
## countryLebanon 0.0000 0.0002
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0006
## countryLuxembourg 0.0000 0.0011
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0001
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0014
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0002
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0001
## countryMexico 0.0492 0.0885
## countryMoldova 0.0000 0.0001
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0007
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0001
## countryNetherlands 0.0052 0.0036
## countryNew Zealand 0.0078 0.0035
## countryNicaragua 0.0026 0.0007
## countryNigeria 0.0000 0.0005
## countryNorway 0.0000 0.0011
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0003
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0026 0.0014
## countryParaguay 0.0000 0.0007
## countryPeru 0.0000 0.0087
## countryPhilippines 0.0052 0.0019
## countryPoland 0.0000 0.0006
## countryPortugal 0.0000 0.0053
## countryQatar 0.0000 0.0002
## countryRomania 0.0000 0.0015
## countryRussia 0.0181 0.0136
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0001
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0002
## countrySenegal 0.0000 0.0003
## countrySerbia 0.0000 0.0003
## countrySingapore 0.0026 0.0017
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0003
## countrySlovenia 0.0000 0.0004
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0026 0.0026
## countrySouth Korea 0.0000 0.0003
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0233 0.0435
## countrySri Lanka 0.0000 0.0001
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0025
## countrySwitzerland 0.0207 0.0209
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0003
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0003
## countryTrinidad and Tobago 0.0000 0.0004
## countryTunisia 0.0000 0.0002
## countryTurkey 0.0000 0.0006
## countryTurkmenistan 0.0000 0.0001
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0001
## countryUkraine 0.0026 0.0018
## countryUnited Arab Emirates 0.0000 0.0007
## countryUnited Kingdom 0.0570 0.0418
## countryUnited States of America 0.2876 0.1069
## countryUruguay 0.0000 0.0020
## countryVenezuela 0.0000 0.0044
## countryVietnam 0.0000 0.0003
## countryZimbabwe 0.0000 0.0001
## relationship_statusLong-term 0.2487 0.6338
## relationship_statusNo relationship 0.6995 0.2302
## relationship_statusShort-term 0.0518 0.1360
## relationship_length 1.1477 2.3833
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance 0.7724 4.5147 0.3137
## languagechinese -0.0713 . 0.0036
## languagedanish -0.0858 . 0.0114
## languageenglish 0.5292 . 0.2646
## languagefrench -0.4821 . 0.1208
## languagegerman 0.0322 . 0.0118
## languageitalian -0.1164 . 0.0232
## languagejapanese 0.0259 . 0.0043
## languageportuguese -0.1079 . 0.0234
## languagerussian 0.0025 . 0.0003
## languagespanish -0.3012 . 0.0985
## age -0.1766 0.8244 0.0244
## countryAfghanistan -0.0067 . 0.0000
## countryAlbania -0.0106 . 0.0001
## countryAlgeria 0.0440 . 0.0022
## countryAndorra -0.0195 . 0.0004
## countryAngola -0.0067 . 0.0000
## countryAntigua and Barbuda -0.0106 . 0.0001
## countryArgentina 0.0636 . 0.0101
## countryArmenia -0.0095 . 0.0001
## countryAruba -0.0067 . 0.0000
## countryAustralia 0.1254 . 0.0226
## countryAustria -0.0034 . 0.0004
## countryAzerbaijan -0.0047 . 0.0000
## countryBahamas, The -0.0116 . 0.0001
## countryBahrain -0.0082 . 0.0001
## countryBarbados -0.0095 . 0.0001
## countryBelarus -0.0341 . 0.0012
## countryBelgium -0.0956 . 0.0090
## countryBelize -0.0067 . 0.0000
## countryBenin -0.0067 . 0.0000
## countryBhutan -0.0047 . 0.0000
## countryBolivia -0.0354 . 0.0012
## countryBosnia and Herzegovina -0.0157 . 0.0002
## countryBotswana -0.0047 . 0.0000
## countryBrazil -0.0739 . 0.0164
## countryBrunei -0.0047 . 0.0000
## countryBulgaria -0.0250 . 0.0006
## countryBurkina Faso -0.0082 . 0.0001
## countryBurma -0.0067 . 0.0000
## countryCabo Verde -0.0047 . 0.0000
## countryCambodia -0.0047 . 0.0000
## countryCameroon -0.0150 . 0.0002
## countryCanada 0.1025 . 0.0227
## countryCentral African Republic -0.0067 . 0.0000
## countryChile -0.0024 . 0.0002
## countryChina -0.0656 . 0.0033
## countryColombia -0.1035 . 0.0117
## countryCosta Rica -0.0141 . 0.0007
## countryCote d'Ivoire -0.0125 . 0.0002
## countryCroatia -0.0206 . 0.0004
## countryCuba -0.0106 . 0.0001
## countryCuracao -0.0067 . 0.0000
## countryCyprus -0.0082 . 0.0001
## countryCzechia 0.0794 . 0.0070
## countryDenmark -0.0916 . 0.0122
## countryDjibouti -0.0047 . 0.0000
## countryDominica -0.0082 . 0.0001
## countryDominican Republic 0.0051 . 0.0003
## countryEast Timor (see Timor-Leste) -0.0047 . 0.0000
## countryEcuador -0.0774 . 0.0059
## countryEgypt -0.0125 . 0.0002
## countryEl Salvador -0.0421 . 0.0018
## countryEquatorial Guinea -0.0047 . 0.0000
## countryEstonia -0.0255 . 0.0006
## countryEthiopia -0.0047 . 0.0000
## countryFiji -0.0095 . 0.0001
## countryFinland 0.0493 . 0.0035
## countryFrance -0.5250 . 0.1107
## countryGabon -0.0095 . 0.0001
## countryGambia, The -0.0047 . 0.0000
## countryGeorgia -0.0125 . 0.0002
## countryGermany 0.0121 . 0.0041
## countryGhana -0.0116 . 0.0001
## countryGreece -0.0232 . 0.0005
## countryGrenada -0.0095 . 0.0001
## countryGuatemala 0.0270 . 0.0019
## countryGuinea -0.0047 . 0.0000
## countryGuyana -0.0164 . 0.0003
## countryHaiti -0.0134 . 0.0002
## countryHoly See -0.0067 . 0.0000
## countryHonduras -0.0321 . 0.0010
## countryHong Kong -0.0276 . 0.0008
## countryHungary -0.0276 . 0.0008
## countryIceland -0.0206 . 0.0004
## countryIndia -0.0466 . 0.0022
## countryIndonesia -0.0318 . 0.0010
## countryIran 0.0418 . 0.0021
## countryIraq -0.0082 . 0.0001
## countryIreland -0.0250 . 0.0013
## countryIsrael 0.0309 . 0.0016
## countryItaly -0.0922 . 0.0189
## countryJamaica -0.0164 . 0.0003
## countryJapan 0.0504 . 0.0091
## countryJordan -0.0082 . 0.0001
## countryKazakhstan -0.0217 . 0.0005
## countryKenya -0.0201 . 0.0004
## countryKosovo -0.0047 . 0.0000
## countryKuwait -0.0067 . 0.0000
## countryKyrgyzstan -0.0067 . 0.0000
## countryLatvia -0.0201 . 0.0004
## countryLebanon -0.0142 . 0.0002
## countryLiberia -0.0047 . 0.0000
## countryLibya -0.0067 . 0.0000
## countryLiechtenstein -0.0067 . 0.0000
## countryLithuania -0.0241 . 0.0006
## countryLuxembourg -0.0338 . 0.0011
## countryMacau -0.0067 . 0.0000
## countryMacedonia -0.0047 . 0.0000
## countryMadagascar -0.0116 . 0.0001
## countryMalawi -0.0047 . 0.0000
## countryMalaysia -0.0373 . 0.0014
## countryMaldives -0.0047 . 0.0000
## countryMali -0.0067 . 0.0000
## countryMalta -0.0142 . 0.0002
## countryMarshall Islands -0.0047 . 0.0000
## countryMauritania -0.0047 . 0.0000
## countryMauritius -0.0082 . 0.0001
## countryMexico -0.1814 . 0.0392
## countryMoldova -0.0082 . 0.0001
## countryMonaco -0.0047 . 0.0000
## countryMontenegro -0.0047 . 0.0000
## countryMorocco -0.0268 . 0.0007
## countryMozambique -0.0047 . 0.0000
## countryNamibia -0.0116 . 0.0001
## countryNetherlands 0.0215 . 0.0015
## countryNew Zealand 0.0483 . 0.0042
## countryNicaragua 0.0370 . 0.0019
## countryNigeria -0.0227 . 0.0005
## countryNorway -0.0338 . 0.0011
## countryOman -0.0067 . 0.0000
## countryPakistan 0.0453 . 0.0023
## countryPalestinian Territories -0.0067 . 0.0000
## countryPanama 0.0226 . 0.0011
## countryParaguay -0.0272 . 0.0007
## countryPeru -0.0942 . 0.0087
## countryPhilippines 0.0462 . 0.0033
## countryPoland -0.0246 . 0.0006
## countryPortugal -0.0733 . 0.0053
## countryQatar -0.0134 . 0.0002
## countryRomania -0.0385 . 0.0015
## countryRussia 0.0343 . 0.0046
## countryRwanda -0.0047 . 0.0000
## countrySaint Lucia -0.0082 . 0.0001
## countrySaint Vincent and the Grenadines -0.0047 . 0.0000
## countrySan Marino -0.0047 . 0.0000
## countrySaudi Arabia -0.0157 . 0.0002
## countrySenegal -0.0164 . 0.0003
## countrySerbia -0.0183 . 0.0003
## countrySingapore 0.0173 . 0.0009
## countrySint Maarten -0.0047 . 0.0000
## countrySlovakia -0.0171 . 0.0003
## countrySlovenia -0.0189 . 0.0004
## countrySolomon Islands -0.0047 . 0.0000
## countrySouth Africa -0.0010 . 0.0001
## countrySouth Korea -0.0177 . 0.0003
## countrySouth Sudan -0.0047 . 0.0000
## countrySpain -0.1339 . 0.0202
## countrySri Lanka -0.0106 . 0.0001
## countrySwaziland -0.0047 . 0.0000
## countrySweden 0.0025 . 0.0001
## countrySwitzerland -0.0014 . 0.0002
## countrySyria -0.0047 . 0.0000
## countryTaiwan -0.0183 . 0.0003
## countryTanzania -0.0067 . 0.0000
## countryThailand -0.0177 . 0.0003
## countryTrinidad and Tobago -0.0195 . 0.0004
## countryTunisia -0.0157 . 0.0002
## countryTurkey -0.0246 . 0.0006
## countryTurkmenistan -0.0106 . 0.0001
## countryTuvalu -0.0047 . 0.0000
## countryUganda -0.0095 . 0.0001
## countryUkraine 0.0147 . 0.0007
## countryUnited Arab Emirates -0.0272 . 0.0007
## countryUnited Kingdom 0.0657 . 0.0152
## countryUnited States of America 0.3992 . 0.1807
## countryUruguay -0.0454 . 0.0020
## countryVenezuela -0.0665 . 0.0044
## countryVietnam -0.0164 . 0.0003
## countryZimbabwe -0.0082 . 0.0001
## relationship_statusLong-term -0.8908 . 0.3851
## relationship_statusNo relationship 1.0236 . 0.4693
## relationship_statusShort-term -0.3799 . 0.0842
## relationship_length -0.3715 0.5649 0.0256
## eCDF Max
## distance 0.5349
## languagechinese 0.0036
## languagedanish 0.0114
## languageenglish 0.2646
## languagefrench 0.1208
## languagegerman 0.0118
## languageitalian 0.0232
## languagejapanese 0.0043
## languageportuguese 0.0234
## languagerussian 0.0003
## languagespanish 0.0985
## age 0.0804
## countryAfghanistan 0.0000
## countryAlbania 0.0001
## countryAlgeria 0.0022
## countryAndorra 0.0004
## countryAngola 0.0000
## countryAntigua and Barbuda 0.0001
## countryArgentina 0.0101
## countryArmenia 0.0001
## countryAruba 0.0000
## countryAustralia 0.0226
## countryAustria 0.0004
## countryAzerbaijan 0.0000
## countryBahamas, The 0.0001
## countryBahrain 0.0001
## countryBarbados 0.0001
## countryBelarus 0.0012
## countryBelgium 0.0090
## countryBelize 0.0000
## countryBenin 0.0000
## countryBhutan 0.0000
## countryBolivia 0.0012
## countryBosnia and Herzegovina 0.0002
## countryBotswana 0.0000
## countryBrazil 0.0164
## countryBrunei 0.0000
## countryBulgaria 0.0006
## countryBurkina Faso 0.0001
## countryBurma 0.0000
## countryCabo Verde 0.0000
## countryCambodia 0.0000
## countryCameroon 0.0002
## countryCanada 0.0227
## countryCentral African Republic 0.0000
## countryChile 0.0002
## countryChina 0.0033
## countryColombia 0.0117
## countryCosta Rica 0.0007
## countryCote d'Ivoire 0.0002
## countryCroatia 0.0004
## countryCuba 0.0001
## countryCuracao 0.0000
## countryCyprus 0.0001
## countryCzechia 0.0070
## countryDenmark 0.0122
## countryDjibouti 0.0000
## countryDominica 0.0001
## countryDominican Republic 0.0003
## countryEast Timor (see Timor-Leste) 0.0000
## countryEcuador 0.0059
## countryEgypt 0.0002
## countryEl Salvador 0.0018
## countryEquatorial Guinea 0.0000
## countryEstonia 0.0006
## countryEthiopia 0.0000
## countryFiji 0.0001
## countryFinland 0.0035
## countryFrance 0.1107
## countryGabon 0.0001
## countryGambia, The 0.0000
## countryGeorgia 0.0002
## countryGermany 0.0041
## countryGhana 0.0001
## countryGreece 0.0005
## countryGrenada 0.0001
## countryGuatemala 0.0019
## countryGuinea 0.0000
## countryGuyana 0.0003
## countryHaiti 0.0002
## countryHoly See 0.0000
## countryHonduras 0.0010
## countryHong Kong 0.0008
## countryHungary 0.0008
## countryIceland 0.0004
## countryIndia 0.0022
## countryIndonesia 0.0010
## countryIran 0.0021
## countryIraq 0.0001
## countryIreland 0.0013
## countryIsrael 0.0016
## countryItaly 0.0189
## countryJamaica 0.0003
## countryJapan 0.0091
## countryJordan 0.0001
## countryKazakhstan 0.0005
## countryKenya 0.0004
## countryKosovo 0.0000
## countryKuwait 0.0000
## countryKyrgyzstan 0.0000
## countryLatvia 0.0004
## countryLebanon 0.0002
## countryLiberia 0.0000
## countryLibya 0.0000
## countryLiechtenstein 0.0000
## countryLithuania 0.0006
## countryLuxembourg 0.0011
## countryMacau 0.0000
## countryMacedonia 0.0000
## countryMadagascar 0.0001
## countryMalawi 0.0000
## countryMalaysia 0.0014
## countryMaldives 0.0000
## countryMali 0.0000
## countryMalta 0.0002
## countryMarshall Islands 0.0000
## countryMauritania 0.0000
## countryMauritius 0.0001
## countryMexico 0.0392
## countryMoldova 0.0001
## countryMonaco 0.0000
## countryMontenegro 0.0000
## countryMorocco 0.0007
## countryMozambique 0.0000
## countryNamibia 0.0001
## countryNetherlands 0.0015
## countryNew Zealand 0.0042
## countryNicaragua 0.0019
## countryNigeria 0.0005
## countryNorway 0.0011
## countryOman 0.0000
## countryPakistan 0.0023
## countryPalestinian Territories 0.0000
## countryPanama 0.0011
## countryParaguay 0.0007
## countryPeru 0.0087
## countryPhilippines 0.0033
## countryPoland 0.0006
## countryPortugal 0.0053
## countryQatar 0.0002
## countryRomania 0.0015
## countryRussia 0.0046
## countryRwanda 0.0000
## countrySaint Lucia 0.0001
## countrySaint Vincent and the Grenadines 0.0000
## countrySan Marino 0.0000
## countrySaudi Arabia 0.0002
## countrySenegal 0.0003
## countrySerbia 0.0003
## countrySingapore 0.0009
## countrySint Maarten 0.0000
## countrySlovakia 0.0003
## countrySlovenia 0.0004
## countrySolomon Islands 0.0000
## countrySouth Africa 0.0001
## countrySouth Korea 0.0003
## countrySouth Sudan 0.0000
## countrySpain 0.0202
## countrySri Lanka 0.0001
## countrySwaziland 0.0000
## countrySweden 0.0001
## countrySwitzerland 0.0002
## countrySyria 0.0000
## countryTaiwan 0.0003
## countryTanzania 0.0000
## countryThailand 0.0003
## countryTrinidad and Tobago 0.0004
## countryTunisia 0.0002
## countryTurkey 0.0006
## countryTurkmenistan 0.0001
## countryTuvalu 0.0000
## countryUganda 0.0001
## countryUkraine 0.0007
## countryUnited Arab Emirates 0.0007
## countryUnited Kingdom 0.0152
## countryUnited States of America 0.1807
## countryUruguay 0.0020
## countryVenezuela 0.0044
## countryVietnam 0.0003
## countryZimbabwe 0.0001
## relationship_statusLong-term 0.3851
## relationship_statusNo relationship 0.4693
## relationship_statusShort-term 0.0842
## relationship_length 0.2807
##
##
## Summary of Balance for Matched Data:
## Means Treated Means Control
## distance 0.0309 0.0309
## languagechinese 0.0026 0.0000
## languagedanish 0.0181 0.0181
## languageenglish 0.4948 0.4845
## languagefrench 0.0674 0.0699
## languagegerman 0.1580 0.1554
## languageitalian 0.0415 0.0415
## languagejapanese 0.0285 0.0337
## languageportuguese 0.0492 0.0492
## languagerussian 0.0181 0.0155
## languagespanish 0.1218 0.1321
## age 24.1606 24.1736
## countryAfghanistan 0.0000 0.0000
## countryAlbania 0.0000 0.0000
## countryAlgeria 0.0026 0.0000
## countryAndorra 0.0000 0.0000
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0000
## countryArgentina 0.0259 0.0337
## countryArmenia 0.0000 0.0000
## countryAruba 0.0000 0.0000
## countryAustralia 0.0337 0.0337
## countryAustria 0.0130 0.0130
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0000
## countryBahrain 0.0000 0.0000
## countryBarbados 0.0000 0.0000
## countryBelarus 0.0000 0.0000
## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0000
## countryBosnia and Herzegovina 0.0000 0.0000
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0518 0.0492
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0000
## countryBurkina Faso 0.0000 0.0000
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0000
## countryCanada 0.0518 0.0570
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0104 0.0130
## countryChina 0.0026 0.0000
## countryColombia 0.0130 0.0104
## countryCosta Rica 0.0026 0.0026
## countryCote d'Ivoire 0.0000 0.0000
## countryCroatia 0.0000 0.0000
## countryCuba 0.0000 0.0000
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0000
## countryCzechia 0.0078 0.0078
## countryDenmark 0.0181 0.0181
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0000
## countryDominican Republic 0.0026 0.0000
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0000
## countryEgypt 0.0000 0.0000
## countryEl Salvador 0.0000 0.0000
## countryEquatorial Guinea 0.0000 0.0000
## countryEstonia 0.0000 0.0000
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0000
## countryFinland 0.0052 0.0026
## countryFrance 0.0466 0.0518
## countryGabon 0.0000 0.0000
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0000
## countryGermany 0.1295 0.1269
## countryGhana 0.0000 0.0000
## countryGreece 0.0000 0.0000
## countryGrenada 0.0000 0.0000
## countryGuatemala 0.0052 0.0052
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0000
## countryHaiti 0.0000 0.0000
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0000
## countryHong Kong 0.0000 0.0000
## countryHungary 0.0000 0.0000
## countryIceland 0.0000 0.0000
## countryIndia 0.0000 0.0000
## countryIndonesia 0.0000 0.0000
## countryIran 0.0026 0.0000
## countryIraq 0.0000 0.0000
## countryIreland 0.0026 0.0000
## countryIsrael 0.0026 0.0000
## countryItaly 0.0440 0.0440
## countryJamaica 0.0000 0.0000
## countryJapan 0.0337 0.0389
## countryJordan 0.0000 0.0000
## countryKazakhstan 0.0000 0.0000
## countryKenya 0.0000 0.0000
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0000
## countryLatvia 0.0000 0.0000
## countryLebanon 0.0000 0.0000
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0000
## countryLuxembourg 0.0000 0.0000
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0000
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0000
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0000
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0000
## countryMexico 0.0492 0.0492
## countryMoldova 0.0000 0.0000
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0000
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0000
## countryNetherlands 0.0052 0.0026
## countryNew Zealand 0.0078 0.0078
## countryNicaragua 0.0026 0.0000
## countryNigeria 0.0000 0.0000
## countryNorway 0.0000 0.0000
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0000
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0026 0.0026
## countryParaguay 0.0000 0.0000
## countryPeru 0.0000 0.0000
## countryPhilippines 0.0052 0.0000
## countryPoland 0.0000 0.0000
## countryPortugal 0.0000 0.0000
## countryQatar 0.0000 0.0000
## countryRomania 0.0000 0.0000
## countryRussia 0.0181 0.0155
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0000
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0000
## countrySenegal 0.0000 0.0000
## countrySerbia 0.0000 0.0000
## countrySingapore 0.0026 0.0026
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0000
## countrySlovenia 0.0000 0.0000
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0026 0.0026
## countrySouth Korea 0.0000 0.0000
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0233 0.0311
## countrySri Lanka 0.0000 0.0000
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0000
## countrySwitzerland 0.0207 0.0233
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0000
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0000
## countryTrinidad and Tobago 0.0000 0.0000
## countryTunisia 0.0000 0.0000
## countryTurkey 0.0000 0.0000
## countryTurkmenistan 0.0000 0.0000
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0000
## countryUkraine 0.0026 0.0026
## countryUnited Arab Emirates 0.0000 0.0000
## countryUnited Kingdom 0.0570 0.0596
## countryUnited States of America 0.2876 0.2927
## countryUruguay 0.0000 0.0000
## countryVenezuela 0.0000 0.0000
## countryVietnam 0.0000 0.0000
## countryZimbabwe 0.0000 0.0000
## relationship_statusLong-term 0.2487 0.2383
## relationship_statusNo relationship 0.6995 0.7098
## relationship_statusShort-term 0.0518 0.0518
## relationship_length 1.1477 0.9819
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance 0.0005 1.0060 0.0000
## languagechinese 0.0510 . 0.0026
## languagedanish 0.0000 . 0.0000
## languageenglish 0.0207 . 0.0104
## languagefrench -0.0103 . 0.0026
## languagegerman 0.0071 . 0.0026
## languageitalian 0.0000 . 0.0000
## languagejapanese -0.0311 . 0.0052
## languageportuguese 0.0000 . 0.0000
## languagerussian 0.0194 . 0.0026
## languagespanish -0.0317 . 0.0104
## age -0.0019 1.0580 0.0028
## countryAfghanistan 0.0000 . 0.0000
## countryAlbania 0.0000 . 0.0000
## countryAlgeria 0.0510 . 0.0026
## countryAndorra 0.0000 . 0.0000
## countryAngola 0.0000 . 0.0000
## countryAntigua and Barbuda 0.0000 . 0.0000
## countryArgentina -0.0489 . 0.0078
## countryArmenia 0.0000 . 0.0000
## countryAruba 0.0000 . 0.0000
## countryAustralia 0.0000 . 0.0000
## countryAustria 0.0000 . 0.0000
## countryAzerbaijan 0.0000 . 0.0000
## countryBahamas, The 0.0000 . 0.0000
## countryBahrain 0.0000 . 0.0000
## countryBarbados 0.0000 . 0.0000
## countryBelarus 0.0000 . 0.0000
## countryBelgium 0.0000 . 0.0000
## countryBelize 0.0000 . 0.0000
## countryBenin 0.0000 . 0.0000
## countryBhutan 0.0000 . 0.0000
## countryBolivia 0.0000 . 0.0000
## countryBosnia and Herzegovina 0.0000 . 0.0000
## countryBotswana 0.0000 . 0.0000
## countryBrazil 0.0117 . 0.0026
## countryBrunei 0.0000 . 0.0000
## countryBulgaria 0.0000 . 0.0000
## countryBurkina Faso 0.0000 . 0.0000
## countryBurma 0.0000 . 0.0000
## countryCabo Verde 0.0000 . 0.0000
## countryCambodia 0.0000 . 0.0000
## countryCameroon 0.0000 . 0.0000
## countryCanada -0.0234 . 0.0052
## countryCentral African Republic 0.0000 . 0.0000
## countryChile -0.0256 . 0.0026
## countryChina 0.0510 . 0.0026
## countryColombia 0.0229 . 0.0026
## countryCosta Rica 0.0000 . 0.0000
## countryCote d'Ivoire 0.0000 . 0.0000
## countryCroatia 0.0000 . 0.0000
## countryCuba 0.0000 . 0.0000
## countryCuracao 0.0000 . 0.0000
## countryCyprus 0.0000 . 0.0000
## countryCzechia 0.0000 . 0.0000
## countryDenmark 0.0000 . 0.0000
## countryDjibouti 0.0000 . 0.0000
## countryDominica 0.0000 . 0.0000
## countryDominican Republic 0.0510 . 0.0026
## countryEast Timor (see Timor-Leste) 0.0000 . 0.0000
## countryEcuador 0.0000 . 0.0000
## countryEgypt 0.0000 . 0.0000
## countryEl Salvador 0.0000 . 0.0000
## countryEquatorial Guinea 0.0000 . 0.0000
## countryEstonia 0.0000 . 0.0000
## countryEthiopia 0.0000 . 0.0000
## countryFiji 0.0000 . 0.0000
## countryFinland 0.0361 . 0.0026
## countryFrance -0.0246 . 0.0052
## countryGabon 0.0000 . 0.0000
## countryGambia, The 0.0000 . 0.0000
## countryGeorgia 0.0000 . 0.0000
## countryGermany 0.0077 . 0.0026
## countryGhana 0.0000 . 0.0000
## countryGreece 0.0000 . 0.0000
## countryGrenada 0.0000 . 0.0000
## countryGuatemala 0.0000 . 0.0000
## countryGuinea 0.0000 . 0.0000
## countryGuyana 0.0000 . 0.0000
## countryHaiti 0.0000 . 0.0000
## countryHoly See 0.0000 . 0.0000
## countryHonduras 0.0000 . 0.0000
## countryHong Kong 0.0000 . 0.0000
## countryHungary 0.0000 . 0.0000
## countryIceland 0.0000 . 0.0000
## countryIndia 0.0000 . 0.0000
## countryIndonesia 0.0000 . 0.0000
## countryIran 0.0510 . 0.0026
## countryIraq 0.0000 . 0.0000
## countryIreland 0.0510 . 0.0026
## countryIsrael 0.0510 . 0.0026
## countryItaly 0.0000 . 0.0000
## countryJamaica 0.0000 . 0.0000
## countryJapan -0.0287 . 0.0052
## countryJordan 0.0000 . 0.0000
## countryKazakhstan 0.0000 . 0.0000
## countryKenya 0.0000 . 0.0000
## countryKosovo 0.0000 . 0.0000
## countryKuwait 0.0000 . 0.0000
## countryKyrgyzstan 0.0000 . 0.0000
## countryLatvia 0.0000 . 0.0000
## countryLebanon 0.0000 . 0.0000
## countryLiberia 0.0000 . 0.0000
## countryLibya 0.0000 . 0.0000
## countryLiechtenstein 0.0000 . 0.0000
## countryLithuania 0.0000 . 0.0000
## countryLuxembourg 0.0000 . 0.0000
## countryMacau 0.0000 . 0.0000
## countryMacedonia 0.0000 . 0.0000
## countryMadagascar 0.0000 . 0.0000
## countryMalawi 0.0000 . 0.0000
## countryMalaysia 0.0000 . 0.0000
## countryMaldives 0.0000 . 0.0000
## countryMali 0.0000 . 0.0000
## countryMalta 0.0000 . 0.0000
## countryMarshall Islands 0.0000 . 0.0000
## countryMauritania 0.0000 . 0.0000
## countryMauritius 0.0000 . 0.0000
## countryMexico 0.0000 . 0.0000
## countryMoldova 0.0000 . 0.0000
## countryMonaco 0.0000 . 0.0000
## countryMontenegro 0.0000 . 0.0000
## countryMorocco 0.0000 . 0.0000
## countryMozambique 0.0000 . 0.0000
## countryNamibia 0.0000 . 0.0000
## countryNetherlands 0.0361 . 0.0026
## countryNew Zealand 0.0000 . 0.0000
## countryNicaragua 0.0510 . 0.0026
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## countryNorway 0.0000 . 0.0000
## countryOman 0.0000 . 0.0000
## countryPakistan 0.0510 . 0.0026
## countryPalestinian Territories 0.0000 . 0.0000
## countryPanama 0.0000 . 0.0000
## countryParaguay 0.0000 . 0.0000
## countryPeru 0.0000 . 0.0000
## countryPhilippines 0.0722 . 0.0052
## countryPoland 0.0000 . 0.0000
## countryPortugal 0.0000 . 0.0000
## countryQatar 0.0000 . 0.0000
## countryRomania 0.0000 . 0.0000
## countryRussia 0.0194 . 0.0026
## countryRwanda 0.0000 . 0.0000
## countrySaint Lucia 0.0000 . 0.0000
## countrySaint Vincent and the Grenadines 0.0000 . 0.0000
## countrySan Marino 0.0000 . 0.0000
## countrySaudi Arabia 0.0000 . 0.0000
## countrySenegal 0.0000 . 0.0000
## countrySerbia 0.0000 . 0.0000
## countrySingapore 0.0000 . 0.0000
## countrySint Maarten 0.0000 . 0.0000
## countrySlovakia 0.0000 . 0.0000
## countrySlovenia 0.0000 . 0.0000
## countrySolomon Islands 0.0000 . 0.0000
## countrySouth Africa 0.0000 . 0.0000
## countrySouth Korea 0.0000 . 0.0000
## countrySouth Sudan 0.0000 . 0.0000
## countrySpain -0.0515 . 0.0078
## countrySri Lanka 0.0000 . 0.0000
## countrySwaziland 0.0000 . 0.0000
## countrySweden 0.0510 . 0.0026
## countrySwitzerland -0.0182 . 0.0026
## countrySyria 0.0000 . 0.0000
## countryTaiwan 0.0000 . 0.0000
## countryTanzania 0.0000 . 0.0000
## countryThailand 0.0000 . 0.0000
## countryTrinidad and Tobago 0.0000 . 0.0000
## countryTunisia 0.0000 . 0.0000
## countryTurkey 0.0000 . 0.0000
## countryTurkmenistan 0.0000 . 0.0000
## countryTuvalu 0.0000 . 0.0000
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## countryUkraine 0.0000 . 0.0000
## countryUnited Arab Emirates 0.0000 . 0.0000
## countryUnited Kingdom -0.0112 . 0.0026
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## countryUruguay 0.0000 . 0.0000
## countryVenezuela 0.0000 . 0.0000
## countryVietnam 0.0000 . 0.0000
## countryZimbabwe 0.0000 . 0.0000
## relationship_statusLong-term 0.0240 . 0.0104
## relationship_statusNo relationship -0.0226 . 0.0104
## relationship_statusShort-term 0.0000 . 0.0000
## relationship_length 0.0499 1.4721 0.0035
## eCDF Max Std. Pair Dist.
## distance 0.0026 0.0010
## languagechinese 0.0026 0.0510
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## languageenglish 0.0104 0.0518
## languagefrench 0.0026 0.0517
## languagegerman 0.0026 0.0355
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## languagejapanese 0.0052 0.0311
## languageportuguese 0.0000 0.0000
## languagerussian 0.0026 0.0582
## languagespanish 0.0104 0.0634
## age 0.0104 0.1395
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## countryAlbania 0.0000 0.0000
## countryAlgeria 0.0026 0.0510
## countryAndorra 0.0000 0.0000
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0000
## countryArgentina 0.0078 0.0489
## countryArmenia 0.0000 0.0000
## countryAruba 0.0000 0.0000
## countryAustralia 0.0000 0.0052
## countryAustria 0.0000 0.0000
## countryAzerbaijan 0.0000 0.0000
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## countryBahrain 0.0000 0.0000
## countryBarbados 0.0000 0.0000
## countryBelarus 0.0000 0.0000
## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
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## countryBosnia and Herzegovina 0.0000 0.0000
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0026 0.0117
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0000
## countryBurkina Faso 0.0000 0.0000
## countryBurma 0.0000 0.0000
## countryCabo Verde 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0000
## countryCanada 0.0052 0.0468
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0026 0.0256
## countryChina 0.0026 0.0510
## countryColombia 0.0026 0.0229
## countryCosta Rica 0.0000 0.0000
## countryCote d'Ivoire 0.0000 0.0000
## countryCroatia 0.0000 0.0000
## countryCuba 0.0000 0.0000
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0000
## countryCzechia 0.0000 0.0052
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## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0000
## countryDominican Republic 0.0026 0.0510
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## countryEstonia 0.0000 0.0000
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## countryFiji 0.0000 0.0000
## countryFinland 0.0026 0.0361
## countryFrance 0.0052 0.0246
## countryGabon 0.0000 0.0000
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0000
## countryGermany 0.0026 0.0231
## countryGhana 0.0000 0.0000
## countryGreece 0.0000 0.0000
## countryGrenada 0.0000 0.0000
## countryGuatemala 0.0000 0.0052
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0000
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## countryHungary 0.0000 0.0000
## countryIceland 0.0000 0.0000
## countryIndia 0.0000 0.0000
## countryIndonesia 0.0000 0.0000
## countryIran 0.0026 0.0510
## countryIraq 0.0000 0.0000
## countryIreland 0.0026 0.0510
## countryIsrael 0.0026 0.0510
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## countryJamaica 0.0000 0.0000
## countryJapan 0.0052 0.0574
## countryJordan 0.0000 0.0000
## countryKazakhstan 0.0000 0.0000
## countryKenya 0.0000 0.0000
## countryKosovo 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0000
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## countryLebanon 0.0000 0.0000
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0000
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## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0000
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## countryMalaysia 0.0000 0.0000
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0000
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## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0000
## countryMexico 0.0000 0.0104
## countryMoldova 0.0000 0.0000
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0000
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0000
## countryNetherlands 0.0026 0.0361
## countryNew Zealand 0.0000 0.0104
## countryNicaragua 0.0026 0.0510
## countryNigeria 0.0000 0.0000
## countryNorway 0.0000 0.0000
## countryOman 0.0000 0.0000
## countryPakistan 0.0026 0.0510
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0000 0.0000
## countryParaguay 0.0000 0.0000
## countryPeru 0.0000 0.0000
## countryPhilippines 0.0052 0.0722
## countryPoland 0.0000 0.0000
## countryPortugal 0.0000 0.0000
## countryQatar 0.0000 0.0000
## countryRomania 0.0000 0.0000
## countryRussia 0.0026 0.0582
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0000
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0000
## countrySenegal 0.0000 0.0000
## countrySerbia 0.0000 0.0000
## countrySingapore 0.0000 0.0000
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0000
## countrySlovenia 0.0000 0.0000
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0000 0.0000
## countrySouth Korea 0.0000 0.0000
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0078 0.0858
## countrySri Lanka 0.0000 0.0000
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0026 0.0510
## countrySwitzerland 0.0026 0.0546
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0000
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0000
## countryTrinidad and Tobago 0.0000 0.0000
## countryTunisia 0.0000 0.0000
## countryTurkey 0.0000 0.0000
## countryTurkmenistan 0.0000 0.0000
## countryTuvalu 0.0000 0.0000
## countryUganda 0.0000 0.0000
## countryUkraine 0.0000 0.0000
## countryUnited Arab Emirates 0.0000 0.0000
## countryUnited Kingdom 0.0026 0.0335
## countryUnited States of America 0.0052 0.0458
## countryUruguay 0.0000 0.0000
## countryVenezuela 0.0000 0.0000
## countryVietnam 0.0000 0.0000
## countryZimbabwe 0.0000 0.0000
## relationship_statusLong-term 0.0104 0.0479
## relationship_statusNo relationship 0.0104 0.0339
## relationship_statusShort-term 0.0000 0.0052
## relationship_length 0.0130 0.1449
##
## Sample Sizes:
## Control Treated
## All 45058 386
## Matched 386 386
## Unmatched 44672 0
## Discarded 0 0bal.tab(nnm_self, m.threshold = 0.1, un = T) #smd## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss_self,
## method = "nearest")
##
## Balance Measures
## Type Diff.Un Diff.Adj
## distance Distance 0.7724 0.0005
## language_chinese Binary -0.0713 0.0510
## language_danish Binary -0.0858 0.0000
## language_english Binary 0.5292 0.0207
## language_french Binary -0.4821 -0.0103
## language_german Binary 0.0322 0.0071
## language_italian Binary -0.1164 0.0000
## language_japanese Binary 0.0259 -0.0311
## language_portuguese Binary -0.1079 0.0000
## language_russian Binary 0.0025 0.0194
## language_spanish Binary -0.3012 -0.0317
## age Contin. -0.1766 -0.0019
## country_Afghanistan Binary -0.0067 0.0000
## country_Albania Binary -0.0106 0.0000
## country_Algeria Binary 0.0440 0.0510
## country_Andorra Binary -0.0195 0.0000
## country_Angola Binary -0.0067 0.0000
## country_Antigua and Barbuda Binary -0.0106 0.0000
## country_Argentina Binary 0.0636 -0.0489
## country_Armenia Binary -0.0095 0.0000
## country_Aruba Binary -0.0067 0.0000
## country_Australia Binary 0.1254 0.0000
## country_Austria Binary -0.0034 0.0000
## country_Azerbaijan Binary -0.0047 0.0000
## country_Bahamas, The Binary -0.0116 0.0000
## country_Bahrain Binary -0.0082 0.0000
## country_Barbados Binary -0.0095 0.0000
## country_Belarus Binary -0.0341 0.0000
## country_Belgium Binary -0.0956 0.0000
## country_Belize Binary -0.0067 0.0000
## country_Benin Binary -0.0067 0.0000
## country_Bhutan Binary -0.0047 0.0000
## country_Bolivia Binary -0.0354 0.0000
## country_Bosnia and Herzegovina Binary -0.0157 0.0000
## country_Botswana Binary -0.0047 0.0000
## country_Brazil Binary -0.0739 0.0117
## country_Brunei Binary -0.0047 0.0000
## country_Bulgaria Binary -0.0250 0.0000
## country_Burkina Faso Binary -0.0082 0.0000
## country_Burma Binary -0.0067 0.0000
## country_Cabo Verde Binary -0.0047 0.0000
## country_Cambodia Binary -0.0047 0.0000
## country_Cameroon Binary -0.0150 0.0000
## country_Canada Binary 0.1025 -0.0234
## country_Central African Republic Binary -0.0067 0.0000
## country_Chile Binary -0.0024 -0.0256
## country_China Binary -0.0656 0.0510
## country_Colombia Binary -0.1035 0.0229
## country_Costa Rica Binary -0.0141 0.0000
## country_Cote d'Ivoire Binary -0.0125 0.0000
## country_Croatia Binary -0.0206 0.0000
## country_Cuba Binary -0.0106 0.0000
## country_Curacao Binary -0.0067 0.0000
## country_Cyprus Binary -0.0082 0.0000
## country_Czechia Binary 0.0794 0.0000
## country_Denmark Binary -0.0916 0.0000
## country_Djibouti Binary -0.0047 0.0000
## country_Dominica Binary -0.0082 0.0000
## country_Dominican Republic Binary 0.0051 0.0510
## country_East Timor (see Timor-Leste) Binary -0.0047 0.0000
## country_Ecuador Binary -0.0774 0.0000
## country_Egypt Binary -0.0125 0.0000
## country_El Salvador Binary -0.0421 0.0000
## country_Equatorial Guinea Binary -0.0047 0.0000
## country_Estonia Binary -0.0255 0.0000
## country_Ethiopia Binary -0.0047 0.0000
## country_Fiji Binary -0.0095 0.0000
## country_Finland Binary 0.0493 0.0361
## country_France Binary -0.5250 -0.0246
## country_Gabon Binary -0.0095 0.0000
## country_Gambia, The Binary -0.0047 0.0000
## country_Georgia Binary -0.0125 0.0000
## country_Germany Binary 0.0121 0.0077
## country_Ghana Binary -0.0116 0.0000
## country_Greece Binary -0.0232 0.0000
## country_Grenada Binary -0.0095 0.0000
## country_Guatemala Binary 0.0270 0.0000
## country_Guinea Binary -0.0047 0.0000
## country_Guyana Binary -0.0164 0.0000
## country_Haiti Binary -0.0134 0.0000
## country_Holy See Binary -0.0067 0.0000
## country_Honduras Binary -0.0321 0.0000
## country_Hong Kong Binary -0.0276 0.0000
## country_Hungary Binary -0.0276 0.0000
## country_Iceland Binary -0.0206 0.0000
## country_India Binary -0.0466 0.0000
## country_Indonesia Binary -0.0318 0.0000
## country_Iran Binary 0.0418 0.0510
## country_Iraq Binary -0.0082 0.0000
## country_Ireland Binary -0.0250 0.0510
## country_Israel Binary 0.0309 0.0510
## country_Italy Binary -0.0922 0.0000
## country_Jamaica Binary -0.0164 0.0000
## country_Japan Binary 0.0504 -0.0287
## country_Jordan Binary -0.0082 0.0000
## country_Kazakhstan Binary -0.0217 0.0000
## country_Kenya Binary -0.0201 0.0000
## country_Kosovo Binary -0.0047 0.0000
## country_Kuwait Binary -0.0067 0.0000
## country_Kyrgyzstan Binary -0.0067 0.0000
## country_Latvia Binary -0.0201 0.0000
## country_Lebanon Binary -0.0142 0.0000
## country_Liberia Binary -0.0047 0.0000
## country_Libya Binary -0.0067 0.0000
## country_Liechtenstein Binary -0.0067 0.0000
## country_Lithuania Binary -0.0241 0.0000
## country_Luxembourg Binary -0.0338 0.0000
## country_Macau Binary -0.0067 0.0000
## country_Macedonia Binary -0.0047 0.0000
## country_Madagascar Binary -0.0116 0.0000
## country_Malawi Binary -0.0047 0.0000
## country_Malaysia Binary -0.0373 0.0000
## country_Maldives Binary -0.0047 0.0000
## country_Mali Binary -0.0067 0.0000
## country_Malta Binary -0.0142 0.0000
## country_Marshall Islands Binary -0.0047 0.0000
## country_Mauritania Binary -0.0047 0.0000
## country_Mauritius Binary -0.0082 0.0000
## country_Mexico Binary -0.1814 0.0000
## country_Moldova Binary -0.0082 0.0000
## country_Monaco Binary -0.0047 0.0000
## country_Montenegro Binary -0.0047 0.0000
## country_Morocco Binary -0.0268 0.0000
## country_Mozambique Binary -0.0047 0.0000
## country_Namibia Binary -0.0116 0.0000
## country_Netherlands Binary 0.0215 0.0361
## country_New Zealand Binary 0.0483 0.0000
## country_Nicaragua Binary 0.0370 0.0510
## country_Nigeria Binary -0.0227 0.0000
## country_Norway Binary -0.0338 0.0000
## country_Oman Binary -0.0067 0.0000
## country_Pakistan Binary 0.0453 0.0510
## country_Palestinian Territories Binary -0.0067 0.0000
## country_Panama Binary 0.0226 0.0000
## country_Paraguay Binary -0.0272 0.0000
## country_Peru Binary -0.0942 0.0000
## country_Philippines Binary 0.0462 0.0722
## country_Poland Binary -0.0246 0.0000
## country_Portugal Binary -0.0733 0.0000
## country_Qatar Binary -0.0134 0.0000
## country_Romania Binary -0.0385 0.0000
## country_Russia Binary 0.0343 0.0194
## country_Rwanda Binary -0.0047 0.0000
## country_Saint Lucia Binary -0.0082 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0047 0.0000
## country_San Marino Binary -0.0047 0.0000
## country_Saudi Arabia Binary -0.0157 0.0000
## country_Senegal Binary -0.0164 0.0000
## country_Serbia Binary -0.0183 0.0000
## country_Singapore Binary 0.0173 0.0000
## country_Sint Maarten Binary -0.0047 0.0000
## country_Slovakia Binary -0.0171 0.0000
## country_Slovenia Binary -0.0189 0.0000
## country_Solomon Islands Binary -0.0047 0.0000
## country_South Africa Binary -0.0010 0.0000
## country_South Korea Binary -0.0177 0.0000
## country_South Sudan Binary -0.0047 0.0000
## country_Spain Binary -0.1339 -0.0515
## country_Sri Lanka Binary -0.0106 0.0000
## country_Swaziland Binary -0.0047 0.0000
## country_Sweden Binary 0.0025 0.0510
## country_Switzerland Binary -0.0014 -0.0182
## country_Syria Binary -0.0047 0.0000
## country_Taiwan Binary -0.0183 0.0000
## country_Tanzania Binary -0.0067 0.0000
## country_Thailand Binary -0.0177 0.0000
## country_Trinidad and Tobago Binary -0.0195 0.0000
## country_Tunisia Binary -0.0157 0.0000
## country_Turkey Binary -0.0246 0.0000
## country_Turkmenistan Binary -0.0106 0.0000
## country_Tuvalu Binary -0.0047 0.0000
## country_Uganda Binary -0.0095 0.0000
## country_Ukraine Binary 0.0147 0.0000
## country_United Arab Emirates Binary -0.0272 0.0000
## country_United Kingdom Binary 0.0657 -0.0112
## country_United States of America Binary 0.3992 -0.0114
## country_Uruguay Binary -0.0454 0.0000
## country_Venezuela Binary -0.0665 0.0000
## country_Vietnam Binary -0.0164 0.0000
## country_Zimbabwe Binary -0.0082 0.0000
## relationship_status_Long-term Binary -0.8908 0.0240
## relationship_status_No relationship Binary 1.0236 -0.0226
## relationship_status_Short-term Binary -0.3799 0.0000
## relationship_length Contin. -0.3715 0.0499
## M.Threshold
## distance Balanced, <0.1
## language_chinese Balanced, <0.1
## language_danish Balanced, <0.1
## language_english Balanced, <0.1
## language_french Balanced, <0.1
## language_german Balanced, <0.1
## language_italian Balanced, <0.1
## language_japanese Balanced, <0.1
## language_portuguese Balanced, <0.1
## language_russian Balanced, <0.1
## language_spanish Balanced, <0.1
## age Balanced, <0.1
## country_Afghanistan Balanced, <0.1
## country_Albania Balanced, <0.1
## country_Algeria Balanced, <0.1
## country_Andorra Balanced, <0.1
## country_Angola Balanced, <0.1
## country_Antigua and Barbuda Balanced, <0.1
## country_Argentina Balanced, <0.1
## country_Armenia Balanced, <0.1
## country_Aruba Balanced, <0.1
## country_Australia Balanced, <0.1
## country_Austria Balanced, <0.1
## country_Azerbaijan Balanced, <0.1
## country_Bahamas, The Balanced, <0.1
## country_Bahrain Balanced, <0.1
## country_Barbados Balanced, <0.1
## country_Belarus Balanced, <0.1
## country_Belgium Balanced, <0.1
## country_Belize Balanced, <0.1
## country_Benin Balanced, <0.1
## country_Bhutan Balanced, <0.1
## country_Bolivia Balanced, <0.1
## country_Bosnia and Herzegovina Balanced, <0.1
## country_Botswana Balanced, <0.1
## country_Brazil Balanced, <0.1
## country_Brunei Balanced, <0.1
## country_Bulgaria Balanced, <0.1
## country_Burkina Faso Balanced, <0.1
## country_Burma Balanced, <0.1
## country_Cabo Verde Balanced, <0.1
## country_Cambodia Balanced, <0.1
## country_Cameroon Balanced, <0.1
## country_Canada Balanced, <0.1
## country_Central African Republic Balanced, <0.1
## country_Chile Balanced, <0.1
## country_China Balanced, <0.1
## country_Colombia Balanced, <0.1
## country_Costa Rica Balanced, <0.1
## country_Cote d'Ivoire Balanced, <0.1
## country_Croatia Balanced, <0.1
## country_Cuba Balanced, <0.1
## country_Curacao Balanced, <0.1
## country_Cyprus Balanced, <0.1
## country_Czechia Balanced, <0.1
## country_Denmark Balanced, <0.1
## country_Djibouti Balanced, <0.1
## country_Dominica Balanced, <0.1
## country_Dominican Republic Balanced, <0.1
## country_East Timor (see Timor-Leste) Balanced, <0.1
## country_Ecuador Balanced, <0.1
## country_Egypt Balanced, <0.1
## country_El Salvador Balanced, <0.1
## country_Equatorial Guinea Balanced, <0.1
## country_Estonia Balanced, <0.1
## country_Ethiopia Balanced, <0.1
## country_Fiji Balanced, <0.1
## country_Finland Balanced, <0.1
## country_France Balanced, <0.1
## country_Gabon Balanced, <0.1
## country_Gambia, The Balanced, <0.1
## country_Georgia Balanced, <0.1
## country_Germany Balanced, <0.1
## country_Ghana Balanced, <0.1
## country_Greece Balanced, <0.1
## country_Grenada Balanced, <0.1
## country_Guatemala Balanced, <0.1
## country_Guinea Balanced, <0.1
## country_Guyana Balanced, <0.1
## country_Haiti Balanced, <0.1
## country_Holy See Balanced, <0.1
## country_Honduras Balanced, <0.1
## country_Hong Kong Balanced, <0.1
## country_Hungary Balanced, <0.1
## country_Iceland Balanced, <0.1
## country_India Balanced, <0.1
## country_Indonesia Balanced, <0.1
## country_Iran Balanced, <0.1
## country_Iraq Balanced, <0.1
## country_Ireland Balanced, <0.1
## country_Israel Balanced, <0.1
## country_Italy Balanced, <0.1
## country_Jamaica Balanced, <0.1
## country_Japan Balanced, <0.1
## country_Jordan Balanced, <0.1
## country_Kazakhstan Balanced, <0.1
## country_Kenya Balanced, <0.1
## country_Kosovo Balanced, <0.1
## country_Kuwait Balanced, <0.1
## country_Kyrgyzstan Balanced, <0.1
## country_Latvia Balanced, <0.1
## country_Lebanon Balanced, <0.1
## country_Liberia Balanced, <0.1
## country_Libya Balanced, <0.1
## country_Liechtenstein Balanced, <0.1
## country_Lithuania Balanced, <0.1
## country_Luxembourg Balanced, <0.1
## country_Macau Balanced, <0.1
## country_Macedonia Balanced, <0.1
## country_Madagascar Balanced, <0.1
## country_Malawi Balanced, <0.1
## country_Malaysia Balanced, <0.1
## country_Maldives Balanced, <0.1
## country_Mali Balanced, <0.1
## country_Malta Balanced, <0.1
## country_Marshall Islands Balanced, <0.1
## country_Mauritania Balanced, <0.1
## country_Mauritius Balanced, <0.1
## country_Mexico Balanced, <0.1
## country_Moldova Balanced, <0.1
## country_Monaco Balanced, <0.1
## country_Montenegro Balanced, <0.1
## country_Morocco Balanced, <0.1
## country_Mozambique Balanced, <0.1
## country_Namibia Balanced, <0.1
## country_Netherlands Balanced, <0.1
## country_New Zealand Balanced, <0.1
## country_Nicaragua Balanced, <0.1
## country_Nigeria Balanced, <0.1
## country_Norway Balanced, <0.1
## country_Oman Balanced, <0.1
## country_Pakistan Balanced, <0.1
## country_Palestinian Territories Balanced, <0.1
## country_Panama Balanced, <0.1
## country_Paraguay Balanced, <0.1
## country_Peru Balanced, <0.1
## country_Philippines Balanced, <0.1
## country_Poland Balanced, <0.1
## country_Portugal Balanced, <0.1
## country_Qatar Balanced, <0.1
## country_Romania Balanced, <0.1
## country_Russia Balanced, <0.1
## country_Rwanda Balanced, <0.1
## country_Saint Lucia Balanced, <0.1
## country_Saint Vincent and the Grenadines Balanced, <0.1
## country_San Marino Balanced, <0.1
## country_Saudi Arabia Balanced, <0.1
## country_Senegal Balanced, <0.1
## country_Serbia Balanced, <0.1
## country_Singapore Balanced, <0.1
## country_Sint Maarten Balanced, <0.1
## country_Slovakia Balanced, <0.1
## country_Slovenia Balanced, <0.1
## country_Solomon Islands Balanced, <0.1
## country_South Africa Balanced, <0.1
## country_South Korea Balanced, <0.1
## country_South Sudan Balanced, <0.1
## country_Spain Balanced, <0.1
## country_Sri Lanka Balanced, <0.1
## country_Swaziland Balanced, <0.1
## country_Sweden Balanced, <0.1
## country_Switzerland Balanced, <0.1
## country_Syria Balanced, <0.1
## country_Taiwan Balanced, <0.1
## country_Tanzania Balanced, <0.1
## country_Thailand Balanced, <0.1
## country_Trinidad and Tobago Balanced, <0.1
## country_Tunisia Balanced, <0.1
## country_Turkey Balanced, <0.1
## country_Turkmenistan Balanced, <0.1
## country_Tuvalu Balanced, <0.1
## country_Uganda Balanced, <0.1
## country_Ukraine Balanced, <0.1
## country_United Arab Emirates Balanced, <0.1
## country_United Kingdom Balanced, <0.1
## country_United States of America Balanced, <0.1
## country_Uruguay Balanced, <0.1
## country_Venezuela Balanced, <0.1
## country_Vietnam Balanced, <0.1
## country_Zimbabwe Balanced, <0.1
## relationship_status_Long-term Balanced, <0.1
## relationship_status_No relationship Balanced, <0.1
## relationship_status_Short-term Balanced, <0.1
## relationship_length Balanced, <0.1
##
## Balance tally for mean differences
## count
## Balanced, <0.1 184
## Not Balanced, >0.1 0
##
## Variable with the greatest mean difference
## Variable Diff.Adj M.Threshold
## country_Philippines 0.0722 Balanced, <0.1
##
## Sample sizes
## Control Treated
## All 45058 386
## Matched 386 386
## Unmatched 44672 0bal.tab(nnm_self, v.threshold = 2, un = T) #vr (can only be calculated for continuous variables)## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss_self,
## method = "nearest")
##
## Balance Measures
## Type Diff.Un V.Ratio.Un Diff.Adj
## distance Distance 0.7724 4.5147 0.0005
## language_chinese Binary -0.0713 . 0.0510
## language_danish Binary -0.0858 . 0.0000
## language_english Binary 0.5292 . 0.0207
## language_french Binary -0.4821 . -0.0103
## language_german Binary 0.0322 . 0.0071
## language_italian Binary -0.1164 . 0.0000
## language_japanese Binary 0.0259 . -0.0311
## language_portuguese Binary -0.1079 . 0.0000
## language_russian Binary 0.0025 . 0.0194
## language_spanish Binary -0.3012 . -0.0317
## age Contin. -0.1766 0.8244 -0.0019
## country_Afghanistan Binary -0.0067 . 0.0000
## country_Albania Binary -0.0106 . 0.0000
## country_Algeria Binary 0.0440 . 0.0510
## country_Andorra Binary -0.0195 . 0.0000
## country_Angola Binary -0.0067 . 0.0000
## country_Antigua and Barbuda Binary -0.0106 . 0.0000
## country_Argentina Binary 0.0636 . -0.0489
## country_Armenia Binary -0.0095 . 0.0000
## country_Aruba Binary -0.0067 . 0.0000
## country_Australia Binary 0.1254 . 0.0000
## country_Austria Binary -0.0034 . 0.0000
## country_Azerbaijan Binary -0.0047 . 0.0000
## country_Bahamas, The Binary -0.0116 . 0.0000
## country_Bahrain Binary -0.0082 . 0.0000
## country_Barbados Binary -0.0095 . 0.0000
## country_Belarus Binary -0.0341 . 0.0000
## country_Belgium Binary -0.0956 . 0.0000
## country_Belize Binary -0.0067 . 0.0000
## country_Benin Binary -0.0067 . 0.0000
## country_Bhutan Binary -0.0047 . 0.0000
## country_Bolivia Binary -0.0354 . 0.0000
## country_Bosnia and Herzegovina Binary -0.0157 . 0.0000
## country_Botswana Binary -0.0047 . 0.0000
## country_Brazil Binary -0.0739 . 0.0117
## country_Brunei Binary -0.0047 . 0.0000
## country_Bulgaria Binary -0.0250 . 0.0000
## country_Burkina Faso Binary -0.0082 . 0.0000
## country_Burma Binary -0.0067 . 0.0000
## country_Cabo Verde Binary -0.0047 . 0.0000
## country_Cambodia Binary -0.0047 . 0.0000
## country_Cameroon Binary -0.0150 . 0.0000
## country_Canada Binary 0.1025 . -0.0234
## country_Central African Republic Binary -0.0067 . 0.0000
## country_Chile Binary -0.0024 . -0.0256
## country_China Binary -0.0656 . 0.0510
## country_Colombia Binary -0.1035 . 0.0229
## country_Costa Rica Binary -0.0141 . 0.0000
## country_Cote d'Ivoire Binary -0.0125 . 0.0000
## country_Croatia Binary -0.0206 . 0.0000
## country_Cuba Binary -0.0106 . 0.0000
## country_Curacao Binary -0.0067 . 0.0000
## country_Cyprus Binary -0.0082 . 0.0000
## country_Czechia Binary 0.0794 . 0.0000
## country_Denmark Binary -0.0916 . 0.0000
## country_Djibouti Binary -0.0047 . 0.0000
## country_Dominica Binary -0.0082 . 0.0000
## country_Dominican Republic Binary 0.0051 . 0.0510
## country_East Timor (see Timor-Leste) Binary -0.0047 . 0.0000
## country_Ecuador Binary -0.0774 . 0.0000
## country_Egypt Binary -0.0125 . 0.0000
## country_El Salvador Binary -0.0421 . 0.0000
## country_Equatorial Guinea Binary -0.0047 . 0.0000
## country_Estonia Binary -0.0255 . 0.0000
## country_Ethiopia Binary -0.0047 . 0.0000
## country_Fiji Binary -0.0095 . 0.0000
## country_Finland Binary 0.0493 . 0.0361
## country_France Binary -0.5250 . -0.0246
## country_Gabon Binary -0.0095 . 0.0000
## country_Gambia, The Binary -0.0047 . 0.0000
## country_Georgia Binary -0.0125 . 0.0000
## country_Germany Binary 0.0121 . 0.0077
## country_Ghana Binary -0.0116 . 0.0000
## country_Greece Binary -0.0232 . 0.0000
## country_Grenada Binary -0.0095 . 0.0000
## country_Guatemala Binary 0.0270 . 0.0000
## country_Guinea Binary -0.0047 . 0.0000
## country_Guyana Binary -0.0164 . 0.0000
## country_Haiti Binary -0.0134 . 0.0000
## country_Holy See Binary -0.0067 . 0.0000
## country_Honduras Binary -0.0321 . 0.0000
## country_Hong Kong Binary -0.0276 . 0.0000
## country_Hungary Binary -0.0276 . 0.0000
## country_Iceland Binary -0.0206 . 0.0000
## country_India Binary -0.0466 . 0.0000
## country_Indonesia Binary -0.0318 . 0.0000
## country_Iran Binary 0.0418 . 0.0510
## country_Iraq Binary -0.0082 . 0.0000
## country_Ireland Binary -0.0250 . 0.0510
## country_Israel Binary 0.0309 . 0.0510
## country_Italy Binary -0.0922 . 0.0000
## country_Jamaica Binary -0.0164 . 0.0000
## country_Japan Binary 0.0504 . -0.0287
## country_Jordan Binary -0.0082 . 0.0000
## country_Kazakhstan Binary -0.0217 . 0.0000
## country_Kenya Binary -0.0201 . 0.0000
## country_Kosovo Binary -0.0047 . 0.0000
## country_Kuwait Binary -0.0067 . 0.0000
## country_Kyrgyzstan Binary -0.0067 . 0.0000
## country_Latvia Binary -0.0201 . 0.0000
## country_Lebanon Binary -0.0142 . 0.0000
## country_Liberia Binary -0.0047 . 0.0000
## country_Libya Binary -0.0067 . 0.0000
## country_Liechtenstein Binary -0.0067 . 0.0000
## country_Lithuania Binary -0.0241 . 0.0000
## country_Luxembourg Binary -0.0338 . 0.0000
## country_Macau Binary -0.0067 . 0.0000
## country_Macedonia Binary -0.0047 . 0.0000
## country_Madagascar Binary -0.0116 . 0.0000
## country_Malawi Binary -0.0047 . 0.0000
## country_Malaysia Binary -0.0373 . 0.0000
## country_Maldives Binary -0.0047 . 0.0000
## country_Mali Binary -0.0067 . 0.0000
## country_Malta Binary -0.0142 . 0.0000
## country_Marshall Islands Binary -0.0047 . 0.0000
## country_Mauritania Binary -0.0047 . 0.0000
## country_Mauritius Binary -0.0082 . 0.0000
## country_Mexico Binary -0.1814 . 0.0000
## country_Moldova Binary -0.0082 . 0.0000
## country_Monaco Binary -0.0047 . 0.0000
## country_Montenegro Binary -0.0047 . 0.0000
## country_Morocco Binary -0.0268 . 0.0000
## country_Mozambique Binary -0.0047 . 0.0000
## country_Namibia Binary -0.0116 . 0.0000
## country_Netherlands Binary 0.0215 . 0.0361
## country_New Zealand Binary 0.0483 . 0.0000
## country_Nicaragua Binary 0.0370 . 0.0510
## country_Nigeria Binary -0.0227 . 0.0000
## country_Norway Binary -0.0338 . 0.0000
## country_Oman Binary -0.0067 . 0.0000
## country_Pakistan Binary 0.0453 . 0.0510
## country_Palestinian Territories Binary -0.0067 . 0.0000
## country_Panama Binary 0.0226 . 0.0000
## country_Paraguay Binary -0.0272 . 0.0000
## country_Peru Binary -0.0942 . 0.0000
## country_Philippines Binary 0.0462 . 0.0722
## country_Poland Binary -0.0246 . 0.0000
## country_Portugal Binary -0.0733 . 0.0000
## country_Qatar Binary -0.0134 . 0.0000
## country_Romania Binary -0.0385 . 0.0000
## country_Russia Binary 0.0343 . 0.0194
## country_Rwanda Binary -0.0047 . 0.0000
## country_Saint Lucia Binary -0.0082 . 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0047 . 0.0000
## country_San Marino Binary -0.0047 . 0.0000
## country_Saudi Arabia Binary -0.0157 . 0.0000
## country_Senegal Binary -0.0164 . 0.0000
## country_Serbia Binary -0.0183 . 0.0000
## country_Singapore Binary 0.0173 . 0.0000
## country_Sint Maarten Binary -0.0047 . 0.0000
## country_Slovakia Binary -0.0171 . 0.0000
## country_Slovenia Binary -0.0189 . 0.0000
## country_Solomon Islands Binary -0.0047 . 0.0000
## country_South Africa Binary -0.0010 . 0.0000
## country_South Korea Binary -0.0177 . 0.0000
## country_South Sudan Binary -0.0047 . 0.0000
## country_Spain Binary -0.1339 . -0.0515
## country_Sri Lanka Binary -0.0106 . 0.0000
## country_Swaziland Binary -0.0047 . 0.0000
## country_Sweden Binary 0.0025 . 0.0510
## country_Switzerland Binary -0.0014 . -0.0182
## country_Syria Binary -0.0047 . 0.0000
## country_Taiwan Binary -0.0183 . 0.0000
## country_Tanzania Binary -0.0067 . 0.0000
## country_Thailand Binary -0.0177 . 0.0000
## country_Trinidad and Tobago Binary -0.0195 . 0.0000
## country_Tunisia Binary -0.0157 . 0.0000
## country_Turkey Binary -0.0246 . 0.0000
## country_Turkmenistan Binary -0.0106 . 0.0000
## country_Tuvalu Binary -0.0047 . 0.0000
## country_Uganda Binary -0.0095 . 0.0000
## country_Ukraine Binary 0.0147 . 0.0000
## country_United Arab Emirates Binary -0.0272 . 0.0000
## country_United Kingdom Binary 0.0657 . -0.0112
## country_United States of America Binary 0.3992 . -0.0114
## country_Uruguay Binary -0.0454 . 0.0000
## country_Venezuela Binary -0.0665 . 0.0000
## country_Vietnam Binary -0.0164 . 0.0000
## country_Zimbabwe Binary -0.0082 . 0.0000
## relationship_status_Long-term Binary -0.8908 . 0.0240
## relationship_status_No relationship Binary 1.0236 . -0.0226
## relationship_status_Short-term Binary -0.3799 . 0.0000
## relationship_length Contin. -0.3715 0.5649 0.0499
## V.Ratio.Adj V.Threshold
## distance 1.0060 Balanced, <2
## language_chinese .
## language_danish .
## language_english .
## language_french .
## language_german .
## language_italian .
## language_japanese .
## language_portuguese .
## language_russian .
## language_spanish .
## age 1.0580 Balanced, <2
## country_Afghanistan .
## country_Albania .
## country_Algeria .
## country_Andorra .
## country_Angola .
## country_Antigua and Barbuda .
## country_Argentina .
## country_Armenia .
## country_Aruba .
## country_Australia .
## country_Austria .
## country_Azerbaijan .
## country_Bahamas, The .
## country_Bahrain .
## country_Barbados .
## country_Belarus .
## country_Belgium .
## country_Belize .
## country_Benin .
## country_Bhutan .
## country_Bolivia .
## country_Bosnia and Herzegovina .
## country_Botswana .
## country_Brazil .
## country_Brunei .
## country_Bulgaria .
## country_Burkina Faso .
## country_Burma .
## country_Cabo Verde .
## country_Cambodia .
## country_Cameroon .
## country_Canada .
## country_Central African Republic .
## country_Chile .
## country_China .
## country_Colombia .
## country_Costa Rica .
## country_Cote d'Ivoire .
## country_Croatia .
## country_Cuba .
## country_Curacao .
## country_Cyprus .
## country_Czechia .
## country_Denmark .
## country_Djibouti .
## country_Dominica .
## country_Dominican Republic .
## country_East Timor (see Timor-Leste) .
## country_Ecuador .
## country_Egypt .
## country_El Salvador .
## country_Equatorial Guinea .
## country_Estonia .
## country_Ethiopia .
## country_Fiji .
## country_Finland .
## country_France .
## country_Gabon .
## country_Gambia, The .
## country_Georgia .
## country_Germany .
## country_Ghana .
## country_Greece .
## country_Grenada .
## country_Guatemala .
## country_Guinea .
## country_Guyana .
## country_Haiti .
## country_Holy See .
## country_Honduras .
## country_Hong Kong .
## country_Hungary .
## country_Iceland .
## country_India .
## country_Indonesia .
## country_Iran .
## country_Iraq .
## country_Ireland .
## country_Israel .
## country_Italy .
## country_Jamaica .
## country_Japan .
## country_Jordan .
## country_Kazakhstan .
## country_Kenya .
## country_Kosovo .
## country_Kuwait .
## country_Kyrgyzstan .
## country_Latvia .
## country_Lebanon .
## country_Liberia .
## country_Libya .
## country_Liechtenstein .
## country_Lithuania .
## country_Luxembourg .
## country_Macau .
## country_Macedonia .
## country_Madagascar .
## country_Malawi .
## country_Malaysia .
## country_Maldives .
## country_Mali .
## country_Malta .
## country_Marshall Islands .
## country_Mauritania .
## country_Mauritius .
## country_Mexico .
## country_Moldova .
## country_Monaco .
## country_Montenegro .
## country_Morocco .
## country_Mozambique .
## country_Namibia .
## country_Netherlands .
## country_New Zealand .
## country_Nicaragua .
## country_Nigeria .
## country_Norway .
## country_Oman .
## country_Pakistan .
## country_Palestinian Territories .
## country_Panama .
## country_Paraguay .
## country_Peru .
## country_Philippines .
## country_Poland .
## country_Portugal .
## country_Qatar .
## country_Romania .
## country_Russia .
## country_Rwanda .
## country_Saint Lucia .
## country_Saint Vincent and the Grenadines .
## country_San Marino .
## country_Saudi Arabia .
## country_Senegal .
## country_Serbia .
## country_Singapore .
## country_Sint Maarten .
## country_Slovakia .
## country_Slovenia .
## country_Solomon Islands .
## country_South Africa .
## country_South Korea .
## country_South Sudan .
## country_Spain .
## country_Sri Lanka .
## country_Swaziland .
## country_Sweden .
## country_Switzerland .
## country_Syria .
## country_Taiwan .
## country_Tanzania .
## country_Thailand .
## country_Trinidad and Tobago .
## country_Tunisia .
## country_Turkey .
## country_Turkmenistan .
## country_Tuvalu .
## country_Uganda .
## country_Ukraine .
## country_United Arab Emirates .
## country_United Kingdom .
## country_United States of America .
## country_Uruguay .
## country_Venezuela .
## country_Vietnam .
## country_Zimbabwe .
## relationship_status_Long-term .
## relationship_status_No relationship .
## relationship_status_Short-term .
## relationship_length 1.4721 Balanced, <2
##
## Balance tally for variance ratios
## count
## Balanced, <2 3
## Not Balanced, >2 0
##
## Variable with the greatest variance ratio
## Variable V.Ratio.Adj V.Threshold
## relationship_length 1.4721 Balanced, <2
##
## Sample sizes
## Control Treated
## All 45058 386
## Matched 386 386
## Unmatched 44672 0All variables balanced.
Visualize
# Q-Q plot
plot(nnm_self, type = "qq", interactive = FALSE, which.xs = c("age", "relationship_length"))
# looks better after matching
# Jitter plot
plot(nnm_self, type = "jitter", interactive = FALSE)
# with cobalt package:
# distributional density/histogram
bal.plot(nnm_self, var.name = "age", which = "both", grid = T)
bal.plot(nnm_self, var.name = "relationship_length", which = "both", grid = T)
bal.plot(nnm_self, var.name = "relationship_status", which = "both", grid = T)
bal.plot(nnm_self, var.name = "language", which = "both", grid = T)
bal.plot(nnm_self, var.name = "country", which = "both", grid = T) # not readable
love.plot(bal.tab(nnm_self, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
# not readable due to country variable
# remove country variable for love plot
nnm_self_without_country = nnm_self
nnm_self_without_country$X[c("country")] <- NULL
love.plot(bal.tab(nnm_self_without_country, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
country and language
create subsamples
# create subsamples based on sexual orientation
asexual_nnm_self = nnm_self_data %>% filter(sexual_orientation == "Asexual")
heterosex_nnm_self = nnm_self_data %>% filter(sexual_orientation =="Straight/Heterosexual")
# match subsamples based on assigned subclass (propensity-score matched pairs will be matched)
matched_self = inner_join(asexual_nnm_self, heterosex_nnm_self, by = "subclass")country
# create variable indicating whether pair comes from same country, if so country is printed
matched_self$same_country = ifelse(matched_self$country.x == matched_self$country.y, matched_self$country.x, "no")
# how many pairs per country
table(matched_self$same_country) ##
## Argentina Australia Austria
## 10 12 5
## Brazil Canada Chile
## 19 19 4
## Colombia Costa Rica Czechia
## 4 1 2
## Denmark Finland France
## 7 1 18
## Germany Guatemala Italy
## 48 1 16
## Japan Mexico Netherlands
## 12 17 1
## New Zealand no Panama
## 1 35 1
## Russia Singapore South Africa
## 5 1 1
## Spain Switzerland Ukraine
## 8 7 1
## United Kingdom United States of America
## 21 108# countries of pairs from differing countries
matched_self$country_1 = ifelse(matched_self$country.x != matched_self$country.y, matched_self$country.x, "no")
matched_self$country_2 = ifelse(matched_self$country.x != matched_self$country.y, matched_self$country.y, "no")
# table
xtabs(~country_1 + country_2, matched_self) ## country_2
## country_1 Argentina Australia Canada Chile Czechia France
## Algeria 0 0 0 0 1 0
## Australia 0 0 0 0 0 0
## Brazil 0 0 0 0 0 0
## Canada 0 0 0 0 0 0
## China 0 0 0 0 0 1
## Colombia 0 0 0 0 0 0
## Czechia 0 0 0 0 0 0
## Dominican Republic 0 0 0 0 0 0
## Finland 0 0 0 0 0 0
## Germany 0 0 0 0 0 0
## Guatemala 0 0 1 0 0 0
## Iran 0 0 0 0 0 0
## Ireland 0 0 0 0 0 0
## Israel 0 0 0 0 0 0
## Italy 0 0 0 0 0 1
## Japan 0 0 0 0 0 0
## Mexico 0 0 0 0 0 0
## Netherlands 1 0 0 0 0 0
## New Zealand 0 0 1 0 0 0
## Nicaragua 0 0 0 0 0 0
## no 0 0 0 0 0 0
## Pakistan 0 0 0 0 0 0
## Philippines 0 1 0 0 0 0
## Russia 0 0 1 0 0 0
## Spain 0 0 0 0 0 0
## Sweden 0 0 0 0 0 0
## Switzerland 1 0 0 0 0 0
## United Kingdom 0 0 0 0 0 0
## United States of America 1 0 0 1 0 0
## country_2
## country_1 Germany Guatemala Italy Japan Mexico New Zealand no
## Algeria 0 0 0 0 0 0 0
## Australia 0 0 0 0 0 0 0
## Brazil 0 1 0 0 0 0 0
## Canada 0 0 0 0 0 0 0
## China 0 0 0 0 0 0 0
## Colombia 0 0 0 0 0 1 0
## Czechia 0 0 0 0 0 0 0
## Dominican Republic 0 0 0 0 0 0 0
## Finland 0 0 0 0 0 1 0
## Germany 0 0 0 1 0 0 0
## Guatemala 0 0 0 0 0 0 0
## Iran 0 0 0 0 0 0 0
## Ireland 0 0 0 0 0 0 0
## Israel 0 0 0 0 0 0 0
## Italy 0 0 0 0 0 0 0
## Japan 0 0 0 0 0 0 0
## Mexico 0 0 0 0 0 0 0
## Netherlands 0 0 0 0 0 0 0
## New Zealand 0 0 0 0 0 0 0
## Nicaragua 0 0 0 1 0 0 0
## no 0 0 0 0 0 0 351
## Pakistan 0 0 0 0 1 0 0
## Philippines 0 0 0 0 0 0 0
## Russia 1 0 0 0 0 0 0
## Spain 0 0 0 0 1 0 0
## Sweden 0 0 1 0 0 0 0
## Switzerland 0 0 0 0 0 0 0
## United Kingdom 0 0 0 1 0 0 0
## United States of America 0 0 0 0 0 0 0
## country_2
## country_1 Russia Spain Switzerland United Kingdom
## Algeria 0 0 0 0
## Australia 0 0 0 0
## Brazil 0 0 0 0
## Canada 0 0 0 0
## China 0 0 0 0
## Colombia 0 0 0 0
## Czechia 0 0 0 1
## Dominican Republic 0 0 0 0
## Finland 0 0 0 0
## Germany 1 0 0 0
## Guatemala 0 0 0 0
## Iran 0 1 0 0
## Ireland 0 0 1 0
## Israel 0 1 0 0
## Italy 0 0 0 0
## Japan 0 0 1 0
## Mexico 0 0 0 0
## Netherlands 0 0 0 0
## New Zealand 0 1 0 0
## Nicaragua 0 0 0 0
## no 0 0 0 0
## Pakistan 0 0 0 0
## Philippines 0 0 0 1
## Russia 0 0 0 0
## Spain 0 0 0 0
## Sweden 0 0 0 0
## Switzerland 0 0 0 0
## United Kingdom 0 0 0 0
## United States of America 0 1 0 0
## country_2
## country_1 United States of America
## Algeria 0
## Australia 1
## Brazil 0
## Canada 1
## China 0
## Colombia 0
## Czechia 0
## Dominican Republic 1
## Finland 0
## Germany 0
## Guatemala 0
## Iran 0
## Ireland 0
## Israel 0
## Italy 0
## Japan 0
## Mexico 2
## Netherlands 0
## New Zealand 0
## Nicaragua 0
## no 0
## Pakistan 0
## Philippines 0
## Russia 0
## Spain 0
## Sweden 0
## Switzerland 0
## United Kingdom 0
## United States of America 0# how many pairs share same country?
sum(matched_self$same_country != "no") # 351## [1] 351sum(matched_self$same_country != "no")/nrow(matched_self) # 91%## [1] 0.9093264language
# create variable indicating whether pair asnwered survey in same language, if so that language is printed
matched_self$same_language = ifelse(matched_self$language.x == matched_self$language.y, matched_self$language.x, "no")
# how many pairs per language
table(matched_self$same_language) ##
## danish english french german italian japanese no
## 7 184 24 58 15 11 18
## portuguese russian spanish
## 19 5 45# countries of pairs with different languages
matched_self$language_1 = ifelse(matched_self$language.x != matched_self$language.y, matched_self$language.x, "no")
matched_self$language_2 = ifelse(matched_self$language.x != matched_self$language.y, matched_self$language.y, "no")
# table
xtabs(~language_1 + language_2, matched_self) ## language_2
## language_1 english french german italian japanese no russian spanish
## chinese 0 1 0 0 0 0 0 0
## english 0 1 1 0 1 0 0 4
## french 0 0 0 1 0 0 0 1
## german 0 0 0 0 1 0 1 1
## italian 1 0 0 0 0 0 0 0
## no 0 0 0 0 0 368 0 0
## russian 2 0 0 0 0 0 0 0
## spanish 0 1 1 0 0 0 0 0# how many pairs share same language?
sum(matched_self$same_language != "no") # 368## [1] 368sum(matched_self$same_language != "no")/nrow(matched_self) # 95%## [1] 0.9533679overview
describe.by(nnm_self_data, nnm_self_data$sexual_orientation) ## Warning: describe.by is deprecated. Please use the describeBy function##
## Descriptive statistics by group
## group: Straight/Heterosexual
## vars n mean sd median trimmed mad
## id 1 386 44969.39 22581.33 38493.50 45256.56 14252.98
## language* 2 386 3.89 2.52 2.00 3.51 1.48
## age 3 386 24.17 6.48 22.00 23.12 5.93
## sex* 4 386 1.00 0.00 1.00 1.00 0.00
## country* 5 386 17.43 9.39 16.00 18.00 16.31
## relationship_status* 6 386 1.81 0.51 2.00 1.83 0.00
## relationship_length 7 386 0.98 2.74 0.00 0.23 0.00
## sexual_orientation* 8 386 1.00 0.00 1.00 1.00 0.00
## self_ks 9 386 5.03 0.78 5.00 5.09 0.74
## self_att 10 386 3.62 1.12 3.50 3.68 0.74
## self_fs 11 386 3.90 1.06 4.00 3.93 0.74
## self_ca 12 386 3.77 1.15 4.00 3.82 0.74
## self_ei 13 386 4.62 0.91 4.50 4.66 0.74
## self_sexually_experienced 14 386 2.13 1.82 2.00 2.00 2.97
## distance 15 386 0.03 0.03 0.02 0.03 0.02
## weights 16 386 1.00 0.00 1.00 1.00 0.00
## subclass* 17 386 193.50 111.57 193.50 193.50 143.07
## min max range skew kurtosis se
## id 32.0 93045.00 93013.00 0.14 -0.47 1149.36
## language* 1.0 9.00 8.00 1.06 -0.33 0.13
## age 18.0 52.00 34.00 1.33 1.46 0.33
## sex* 1.0 1.00 0.00 NaN NaN 0.00
## country* 1.0 28.00 27.00 -0.22 -1.36 0.48
## relationship_status* 1.0 3.00 2.00 -0.29 0.17 0.03
## relationship_length 0.0 21.00 21.00 3.69 15.49 0.14
## sexual_orientation* 1.0 1.00 0.00 NaN NaN 0.00
## self_ks 2.5 6.00 3.50 -0.73 0.17 0.04
## self_att 0.0 6.00 6.00 -0.61 1.06 0.06
## self_fs 0.0 6.00 6.00 -0.48 0.58 0.05
## self_ca 0.0 6.00 6.00 -0.46 0.23 0.06
## self_ei 0.0 6.00 6.00 -0.63 1.30 0.05
## self_sexually_experienced 0.0 6.00 6.00 0.28 -1.09 0.09
## distance 0.0 0.22 0.22 2.34 10.68 0.00
## weights 1.0 1.00 0.00 NaN NaN 0.00
## subclass* 1.0 386.00 385.00 0.00 -1.21 5.68
## ------------------------------------------------------------
## group: Asexual
## vars n mean sd median trimmed mad
## id 1 386 50799.93 23285.11 48202.50 51418.95 17466.51
## language* 2 386 4.81 2.48 3.00 4.42 1.48
## age 3 386 24.16 6.67 22.00 23.03 5.93
## sex* 4 386 1.00 0.00 1.00 1.00 0.00
## country* 5 386 23.33 12.90 22.00 23.98 22.24
## relationship_status* 6 386 1.80 0.51 2.00 1.81 0.00
## relationship_length 7 386 1.15 3.33 0.00 0.26 0.00
## sexual_orientation* 8 386 2.00 0.00 2.00 2.00 0.00
## self_ks 9 386 4.68 0.97 5.00 4.76 0.74
## self_att 10 386 3.04 1.28 3.00 3.09 1.48
## self_fs 11 386 3.39 1.16 3.50 3.44 0.74
## self_ca 12 386 3.24 1.31 3.50 3.26 1.48
## self_ei 13 386 4.46 0.89 4.50 4.49 0.74
## self_sexually_experienced 14 386 1.05 1.44 0.00 0.79 0.00
## distance 15 386 0.03 0.03 0.02 0.03 0.02
## weights 16 386 1.00 0.00 1.00 1.00 0.00
## subclass* 17 386 193.50 111.57 193.50 193.50 143.07
## min max range skew kurtosis se
## id 296.0 94667.00 94371.00 -0.07 -0.44 1185.18
## language* 1.0 10.00 9.00 1.10 -0.18 0.13
## age 18.0 56.00 38.00 1.48 2.21 0.34
## sex* 1.0 1.00 0.00 NaN NaN 0.00
## country* 1.0 38.00 37.00 -0.16 -1.46 0.66
## relationship_status* 1.0 3.00 2.00 -0.26 0.06 0.03
## relationship_length 0.0 28.00 28.00 4.11 20.06 0.17
## sexual_orientation* 2.0 2.00 0.00 NaN NaN 0.00
## self_ks 1.5 6.00 4.50 -0.60 -0.17 0.05
## self_att 0.0 6.00 6.00 -0.34 -0.03 0.07
## self_fs 0.0 6.00 6.00 -0.43 0.61 0.06
## self_ca 0.0 6.00 6.00 -0.18 -0.40 0.07
## self_ei 1.0 6.00 5.00 -0.42 0.32 0.05
## self_sexually_experienced 0.0 6.00 6.00 1.28 0.72 0.07
## distance 0.0 0.22 0.22 2.37 10.83 0.00
## weights 1.0 1.00 0.00 NaN NaN 0.00
## subclass* 1.0 386.00 385.00 0.00 -1.21 5.683. PSM for relationship options
Check for missings in covariates to be matched
psm cannot handle missings covariates: language, age, country, relationship status, relationship length
# MatchIt does not allow missing values
data_main_nomiss_rel <- data_main %>% select(id, language, age, sex, country, relationship_status, relationship_length,
sexual_orientation,
interest_hookups,
interest_nonsexrel,
interest_monrel,
interest_monrel,
interest_nonmonrel,
interest_altrel,
interest_single,
interest_parent) %>%
na.omit()
table(is.na(data_main_nomiss_rel)) # no more NAs in data set##
## FALSE
## 570870Check if correct variable type
typeof(data_main_nomiss_rel$sexual_orientation) # is variable of type character, but for PSM it needs to be a factor## [1] "character"data_main_nomiss_rel$sexual_orientation = as.factor(data_main_nomiss_rel$sexual_orientation) # convert to factor
levels(data_main_nomiss_rel$sexual_orientation) # check levels of factor## [1] "Asexual" "Straight/Heterosexual"data_main_nomiss_rel$sexual_orientation = factor(data_main_nomiss_rel$sexual_orientation,
levels=rev(levels(data_main_nomiss_rel$sexual_orientation))) # reverse order of factor levels
levels(data_main_nomiss_rel$sexual_orientation) # check factor level order## [1] "Straight/Heterosexual" "Asexual"Matching
Matching with nearest-neighbor-algortihm without caliper
nnm_rel <- matchit(sexual_orientation ~ language + age + country + relationship_status + relationship_length, method = "nearest", data = data_main_nomiss_rel)
nnm_rel_data <- match.data(nnm_rel)
nrow(nnm_rel_data) # 646 observations## [1] 646table(nnm_rel_data$subclass) # data includes only pairs of two observations##
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
## 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2
## 321 322 323
## 2 2 2dim(nnm_rel_data) # 646 observations and 18 variables## [1] 646 18No asexual unmatched.
Check balance
summary_nnm_rel = summary(nnm_rel, standardize = T)
print(summary_nnm_rel)##
## Call:
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss_rel,
## method = "nearest")
##
## Summary of Balance for All Data:
## Means Treated Means Control
## distance 0.0322 0.0083
## languagechinese 0.0000 0.0066
## languagedanish 0.0217 0.0302
## languageenglish 0.5077 0.2279
## languagefrench 0.0681 0.1913
## languagegerman 0.1486 0.1462
## languageitalian 0.0433 0.0679
## languagejapanese 0.0279 0.0248
## languageportuguese 0.0526 0.0733
## languagerussian 0.0155 0.0173
## languagespanish 0.1146 0.2145
## age 24.2043 25.2370
## countryAfghanistan 0.0000 0.0001
## countryAlbania 0.0000 0.0001
## countryAlgeria 0.0031 0.0003
## countryAndorra 0.0000 0.0003
## countryAngola 0.0000 0.0001
## countryAntigua and Barbuda 0.0000 0.0001
## countryArgentina 0.0217 0.0152
## countryArmenia 0.0000 0.0001
## countryAruba 0.0000 0.0001
## countryAustralia 0.0341 0.0108
## countryAustria 0.0093 0.0126
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0001
## countryBahrain 0.0000 0.0001
## countryBarbados 0.0000 0.0001
## countryBelarus 0.0000 0.0012
## countryBelgium 0.0000 0.0091
## countryBelize 0.0000 0.0001
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0012
## countryBosnia and Herzegovina 0.0000 0.0003
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0526 0.0691
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0007
## countryBurkina Faso 0.0000 0.0001
## countryBurma 0.0000 0.0001
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0003
## countryCanada 0.0588 0.0283
## countryCentral African Republic 0.0000 0.0001
## countryChile 0.0093 0.0106
## countryChina 0.0000 0.0063
## countryColombia 0.0124 0.0242
## countryCosta Rica 0.0031 0.0030
## countryCote d'Ivoire 0.0000 0.0002
## countryCroatia 0.0000 0.0005
## countryCuba 0.0000 0.0001
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0001
## countryCzechia 0.0093 0.0008
## countryDenmark 0.0217 0.0310
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0001
## countryDominican Republic 0.0031 0.0021
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0055
## countryEgypt 0.0000 0.0002
## countryEl Salvador 0.0000 0.0017
## countryEstonia 0.0000 0.0007
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0001
## countryFinland 0.0062 0.0016
## countryFrance 0.0433 0.1610
## countryGabon 0.0000 0.0001
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0001
## countryGermany 0.1238 0.1265
## countryGhana 0.0000 0.0001
## countryGreece 0.0000 0.0005
## countryGrenada 0.0000 0.0001
## countryGuatemala 0.0062 0.0033
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0002
## countryHaiti 0.0000 0.0001
## countryHoly See 0.0000 0.0001
## countryHonduras 0.0000 0.0010
## countryHong Kong 0.0000 0.0006
## countryHungary 0.0000 0.0007
## countryIceland 0.0000 0.0004
## countryIndia 0.0000 0.0023
## countryIndonesia 0.0000 0.0010
## countryIran 0.0031 0.0005
## countryIraq 0.0000 0.0001
## countryIreland 0.0031 0.0040
## countryIsrael 0.0000 0.0010
## countryItaly 0.0495 0.0663
## countryJamaica 0.0000 0.0002
## countryJapan 0.0310 0.0251
## countryJordan 0.0000 0.0001
## countryKazakhstan 0.0000 0.0004
## countryKenya 0.0000 0.0003
## countryKuwait 0.0000 0.0001
## countryKyrgyzstan 0.0000 0.0001
## countryLatvia 0.0000 0.0005
## countryLebanon 0.0000 0.0002
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0001
## countryLiechtenstein 0.0000 0.0001
## countryLithuania 0.0000 0.0006
## countryLuxembourg 0.0000 0.0011
## countryMacau 0.0000 0.0001
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0001
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0012
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0001
## countryMalta 0.0000 0.0002
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0001
## countryMexico 0.0464 0.0868
## countryMoldova 0.0000 0.0001
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0006
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0002
## countryNetherlands 0.0031 0.0034
## countryNew Zealand 0.0093 0.0033
## countryNicaragua 0.0031 0.0006
## countryNigeria 0.0000 0.0006
## countryNorway 0.0000 0.0010
## countryOman 0.0000 0.0001
## countryPakistan 0.0031 0.0003
## countryPalestinian Territories 0.0000 0.0001
## countryPanama 0.0031 0.0013
## countryParaguay 0.0000 0.0007
## countryPeru 0.0000 0.0084
## countryPhilippines 0.0062 0.0018
## countryPoland 0.0000 0.0006
## countryPortugal 0.0000 0.0052
## countryQatar 0.0000 0.0002
## countryRomania 0.0000 0.0016
## countryRussia 0.0186 0.0132
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0001
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0002
## countrySenegal 0.0000 0.0003
## countrySerbia 0.0000 0.0004
## countrySingapore 0.0031 0.0017
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0003
## countrySlovenia 0.0000 0.0003
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0031 0.0026
## countrySouth Korea 0.0000 0.0003
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0248 0.0432
## countrySri Lanka 0.0000 0.0001
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0031 0.0025
## countrySwitzerland 0.0217 0.0209
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0004
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0003
## countryTrinidad and Tobago 0.0000 0.0004
## countryTunisia 0.0000 0.0003
## countryTurkey 0.0000 0.0007
## countryTurkmenistan 0.0000 0.0001
## countryUganda 0.0000 0.0001
## countryUkraine 0.0000 0.0018
## countryUnited Arab Emirates 0.0000 0.0008
## countryUnited Kingdom 0.0650 0.0416
## countryUnited States of America 0.2817 0.1043
## countryUruguay 0.0000 0.0018
## countryVenezuela 0.0000 0.0043
## countryVietnam 0.0000 0.0002
## countryZimbabwe 0.0000 0.0001
## relationship_statusLong-term 0.2601 0.6334
## relationship_statusNo relationship 0.6904 0.2274
## relationship_statusShort-term 0.0495 0.1392
## relationship_length 1.1641 2.3257
## Std. Mean Diff. Var. Ratio eCDF Mean
## distance 0.7498 5.0537 0.3182
## languagechinese -0.0818 . 0.0066
## languagedanish -0.0583 . 0.0085
## languageenglish 0.5598 . 0.2799
## languagefrench -0.4891 . 0.1232
## languagegerman 0.0068 . 0.0024
## languageitalian -0.1207 . 0.0246
## languagejapanese 0.0186 . 0.0031
## languageportuguese -0.0927 . 0.0207
## languagerussian -0.0144 . 0.0018
## languagespanish -0.3140 . 0.1000
## age -0.1555 0.8414 0.0220
## countryAfghanistan -0.0073 . 0.0001
## countryAlbania -0.0090 . 0.0001
## countryAlgeria 0.0495 . 0.0028
## countryAndorra -0.0164 . 0.0003
## countryAngola -0.0073 . 0.0001
## countryAntigua and Barbuda -0.0103 . 0.0001
## countryArgentina 0.0442 . 0.0064
## countryArmenia -0.0103 . 0.0001
## countryAruba -0.0073 . 0.0001
## countryAustralia 0.1284 . 0.0233
## countryAustria -0.0347 . 0.0033
## countryAzerbaijan -0.0052 . 0.0000
## countryBahamas, The -0.0103 . 0.0001
## countryBahrain -0.0090 . 0.0001
## countryBarbados -0.0103 . 0.0001
## countryBelarus -0.0347 . 0.0012
## countryBelgium -0.0960 . 0.0091
## countryBelize -0.0090 . 0.0001
## countryBenin -0.0052 . 0.0000
## countryBhutan -0.0052 . 0.0000
## countryBolivia -0.0351 . 0.0012
## countryBosnia and Herzegovina -0.0171 . 0.0003
## countryBotswana -0.0052 . 0.0000
## countryBrazil -0.0738 . 0.0165
## countryBrunei -0.0052 . 0.0000
## countryBulgaria -0.0259 . 0.0007
## countryBurkina Faso -0.0090 . 0.0001
## countryBurma -0.0073 . 0.0001
## countryCambodia -0.0052 . 0.0000
## countryCameroon -0.0164 . 0.0003
## countryCanada 0.1296 . 0.0305
## countryCentral African Republic -0.0073 . 0.0001
## countryChile -0.0140 . 0.0013
## countryChina -0.0798 . 0.0063
## countryColombia -0.1066 . 0.0118
## countryCosta Rica 0.0013 . 0.0001
## countryCote d'Ivoire -0.0127 . 0.0002
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## countryCyprus -0.0090 . 0.0001
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## countryEgypt -0.0137 . 0.0002
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## countryGermany -0.0080 . 0.0026
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## countryGrenada -0.0090 . 0.0001
## countryGuatemala 0.0370 . 0.0029
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## countryHungary -0.0269 . 0.0007
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## countryIndonesia -0.0323 . 0.0010
## countryIran 0.0471 . 0.0026
## countryIraq -0.0073 . 0.0001
## countryIreland -0.0158 . 0.0009
## countryIsrael -0.0319 . 0.0010
## countryItaly -0.0770 . 0.0167
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## countryJapan 0.0337 . 0.0058
## countryJordan -0.0090 . 0.0001
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## countryMauritania -0.0052 . 0.0000
## countryMauritius -0.0090 . 0.0001
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## countryPoland -0.0243 . 0.0006
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## countryQatar -0.0137 . 0.0002
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## countryRussia 0.0400 . 0.0054
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## countrySan Marino -0.0052 . 0.0000
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## countrySouth Africa 0.0090 . 0.0005
## countrySouth Korea -0.0186 . 0.0003
## countrySouth Sudan -0.0052 . 0.0000
## countrySpain -0.1184 . 0.0184
## countrySri Lanka -0.0116 . 0.0001
## countrySwaziland -0.0052 . 0.0000
## countrySweden 0.0109 . 0.0006
## countrySwitzerland 0.0056 . 0.0008
## countrySyria -0.0052 . 0.0000
## countryTaiwan -0.0193 . 0.0004
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## countryThailand -0.0164 . 0.0003
## countryTrinidad and Tobago -0.0193 . 0.0004
## countryTunisia -0.0164 . 0.0003
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## countryUnited Arab Emirates -0.0279 . 0.0008
## countryUnited Kingdom 0.0949 . 0.0234
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## relationship_statusNo relationship 1.0015 . 0.4630
## relationship_statusShort-term -0.4134 . 0.0897
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## eCDF Max
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## languagechinese 0.0066
## languagedanish 0.0085
## languageenglish 0.2799
## languagefrench 0.1232
## languagegerman 0.0024
## languageitalian 0.0246
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## languagerussian 0.0018
## languagespanish 0.1000
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## countryAfghanistan 0.0001
## countryAlbania 0.0001
## countryAlgeria 0.0028
## countryAndorra 0.0003
## countryAngola 0.0001
## countryAntigua and Barbuda 0.0001
## countryArgentina 0.0064
## countryArmenia 0.0001
## countryAruba 0.0001
## countryAustralia 0.0233
## countryAustria 0.0033
## countryAzerbaijan 0.0000
## countryBahamas, The 0.0001
## countryBahrain 0.0001
## countryBarbados 0.0001
## countryBelarus 0.0012
## countryBelgium 0.0091
## countryBelize 0.0001
## countryBenin 0.0000
## countryBhutan 0.0000
## countryBolivia 0.0012
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## countryBurma 0.0001
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## countryCameroon 0.0003
## countryCanada 0.0305
## countryCentral African Republic 0.0001
## countryChile 0.0013
## countryChina 0.0063
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## countryCosta Rica 0.0001
## countryCote d'Ivoire 0.0002
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## countryCuba 0.0001
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## countryCzechia 0.0085
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## countryFiji 0.0001
## countryFinland 0.0045
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## countryGermany 0.0026
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## countryIndonesia 0.0010
## countryIran 0.0026
## countryIraq 0.0001
## countryIreland 0.0009
## countryIsrael 0.0010
## countryItaly 0.0167
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## relationship_statusShort-term 0.0897
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##
##
## Summary of Balance for Matched Data:
## Means Treated Means Control
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## languagechinese 0.0000 0.0000
## languagedanish 0.0217 0.0248
## languageenglish 0.5077 0.4923
## languagefrench 0.0681 0.0650
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## languageitalian 0.0433 0.0433
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## countryAlbania 0.0000 0.0000
## countryAlgeria 0.0031 0.0000
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## countryAntigua and Barbuda 0.0000 0.0000
## countryArgentina 0.0217 0.0186
## countryArmenia 0.0000 0.0000
## countryAruba 0.0000 0.0000
## countryAustralia 0.0341 0.0341
## countryAustria 0.0093 0.0093
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0000
## countryBahrain 0.0000 0.0000
## countryBarbados 0.0000 0.0000
## countryBelarus 0.0000 0.0000
## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0000
## countryBosnia and Herzegovina 0.0000 0.0000
## countryBotswana 0.0000 0.0000
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## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0000
## countryBurkina Faso 0.0000 0.0000
## countryBurma 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0000
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## countryChile 0.0093 0.0093
## countryChina 0.0000 0.0000
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## countryCroatia 0.0000 0.0000
## countryCuba 0.0000 0.0000
## countryCuracao 0.0000 0.0000
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## countryEstonia 0.0000 0.0000
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0000
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## countrySerbia 0.0000 0.0000
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## countrySwaziland 0.0000 0.0000
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## Std. Mean Diff. Var. Ratio eCDF Mean
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## languagedanish -0.0213 . 0.0031
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## languagefrench 0.0123 . 0.0031
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## languageitalian 0.0000 . 0.0000
## languagejapanese -0.0188 . 0.0031
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## languagerussian 0.0000 . 0.0000
## languagespanish 0.0000 . 0.0000
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## countryAfghanistan 0.0000 . 0.0000
## countryAlbania 0.0000 . 0.0000
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## countryAngola 0.0000 . 0.0000
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## countryArgentina 0.0213 . 0.0031
## countryArmenia 0.0000 . 0.0000
## countryAruba 0.0000 . 0.0000
## countryAustralia 0.0000 . 0.0000
## countryAustria 0.0000 . 0.0000
## countryAzerbaijan 0.0000 . 0.0000
## countryBahamas, The 0.0000 . 0.0000
## countryBahrain 0.0000 . 0.0000
## countryBarbados 0.0000 . 0.0000
## countryBelarus 0.0000 . 0.0000
## countryBelgium 0.0000 . 0.0000
## countryBelize 0.0000 . 0.0000
## countryBenin 0.0000 . 0.0000
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## countryChina 0.0000 . 0.0000
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## countryIndonesia 0.0000 . 0.0000
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## countryNew Zealand 0.0000 . 0.0000
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## countryPanama -0.0557 . 0.0031
## countryParaguay 0.0000 . 0.0000
## countryPeru 0.0000 . 0.0000
## countryPhilippines 0.0395 . 0.0031
## countryPoland 0.0000 . 0.0000
## countryPortugal 0.0000 . 0.0000
## countryQatar 0.0000 . 0.0000
## countryRomania 0.0000 . 0.0000
## countryRussia 0.0000 . 0.0000
## countryRwanda 0.0000 . 0.0000
## countrySaint Lucia 0.0000 . 0.0000
## countrySaint Vincent and the Grenadines 0.0000 . 0.0000
## countrySan Marino 0.0000 . 0.0000
## countrySaudi Arabia 0.0000 . 0.0000
## countrySenegal 0.0000 . 0.0000
## countrySerbia 0.0000 . 0.0000
## countrySingapore 0.0000 . 0.0000
## countrySint Maarten 0.0000 . 0.0000
## countrySlovakia 0.0000 . 0.0000
## countrySlovenia 0.0000 . 0.0000
## countrySolomon Islands 0.0000 . 0.0000
## countrySouth Africa 0.0000 . 0.0000
## countrySouth Korea 0.0000 . 0.0000
## countrySouth Sudan 0.0000 . 0.0000
## countrySpain -0.0398 . 0.0062
## countrySri Lanka 0.0000 . 0.0000
## countrySwaziland 0.0000 . 0.0000
## countrySweden 0.0000 . 0.0000
## countrySwitzerland 0.0000 . 0.0000
## countrySyria 0.0000 . 0.0000
## countryTaiwan 0.0000 . 0.0000
## countryTanzania 0.0000 . 0.0000
## countryThailand 0.0000 . 0.0000
## countryTrinidad and Tobago 0.0000 . 0.0000
## countryTunisia 0.0000 . 0.0000
## countryTurkey 0.0000 . 0.0000
## countryTurkmenistan 0.0000 . 0.0000
## countryUganda 0.0000 . 0.0000
## countryUkraine 0.0000 . 0.0000
## countryUnited Arab Emirates 0.0000 . 0.0000
## countryUnited Kingdom 0.0000 . 0.0000
## countryUnited States of America 0.0069 . 0.0031
## countryUruguay 0.0000 . 0.0000
## countryVenezuela 0.0000 . 0.0000
## countryVietnam 0.0000 . 0.0000
## countryZimbabwe 0.0000 . 0.0000
## relationship_statusLong-term 0.0282 . 0.0124
## relationship_statusNo relationship -0.0268 . 0.0124
## relationship_statusShort-term 0.0000 . 0.0000
## relationship_length -0.0078 0.7975 0.0029
## eCDF Max Std. Pair Dist.
## distance 0.0031 0.0003
## languagechinese 0.0000 0.0000
## languagedanish 0.0031 0.0213
## languageenglish 0.0155 0.0681
## languagefrench 0.0031 0.0614
## languagegerman 0.0093 0.0261
## languageitalian 0.0000 0.0000
## languagejapanese 0.0031 0.0188
## languageportuguese 0.0031 0.0139
## languagerussian 0.0000 0.0062
## languagespanish 0.0000 0.0124
## age 0.0124 0.1935
## countryAfghanistan 0.0000 0.0000
## countryAlbania 0.0000 0.0000
## countryAlgeria 0.0031 0.0557
## countryAndorra 0.0000 0.0000
## countryAngola 0.0000 0.0000
## countryAntigua and Barbuda 0.0000 0.0000
## countryArgentina 0.0031 0.0213
## countryArmenia 0.0000 0.0000
## countryAruba 0.0000 0.0000
## countryAustralia 0.0000 0.0062
## countryAustria 0.0000 0.0000
## countryAzerbaijan 0.0000 0.0000
## countryBahamas, The 0.0000 0.0000
## countryBahrain 0.0000 0.0000
## countryBarbados 0.0000 0.0000
## countryBelarus 0.0000 0.0000
## countryBelgium 0.0000 0.0000
## countryBelize 0.0000 0.0000
## countryBenin 0.0000 0.0000
## countryBhutan 0.0000 0.0000
## countryBolivia 0.0000 0.0000
## countryBosnia and Herzegovina 0.0000 0.0000
## countryBotswana 0.0000 0.0000
## countryBrazil 0.0000 0.0000
## countryBrunei 0.0000 0.0000
## countryBulgaria 0.0000 0.0000
## countryBurkina Faso 0.0000 0.0000
## countryBurma 0.0000 0.0000
## countryCambodia 0.0000 0.0000
## countryCameroon 0.0000 0.0000
## countryCanada 0.0124 0.1053
## countryCentral African Republic 0.0000 0.0000
## countryChile 0.0000 0.0000
## countryChina 0.0000 0.0000
## countryColombia 0.0000 0.0062
## countryCosta Rica 0.0000 0.0000
## countryCote d'Ivoire 0.0000 0.0000
## countryCroatia 0.0000 0.0000
## countryCuba 0.0000 0.0000
## countryCuracao 0.0000 0.0000
## countryCyprus 0.0000 0.0000
## countryCzechia 0.0031 0.0968
## countryDenmark 0.0062 0.0425
## countryDjibouti 0.0000 0.0000
## countryDominica 0.0000 0.0000
## countryDominican Republic 0.0031 0.0557
## countryEast Timor (see Timor-Leste) 0.0000 0.0000
## countryEcuador 0.0000 0.0000
## countryEgypt 0.0000 0.0000
## countryEl Salvador 0.0000 0.0000
## countryEstonia 0.0000 0.0000
## countryEthiopia 0.0000 0.0000
## countryFiji 0.0000 0.0000
## countryFinland 0.0031 0.0395
## countryFrance 0.0000 0.0000
## countryGabon 0.0000 0.0000
## countryGambia, The 0.0000 0.0000
## countryGeorgia 0.0000 0.0000
## countryGermany 0.0062 0.0188
## countryGhana 0.0000 0.0000
## countryGreece 0.0000 0.0000
## countryGrenada 0.0000 0.0000
## countryGuatemala 0.0031 0.0395
## countryGuinea 0.0000 0.0000
## countryGuyana 0.0000 0.0000
## countryHaiti 0.0000 0.0000
## countryHoly See 0.0000 0.0000
## countryHonduras 0.0000 0.0000
## countryHong Kong 0.0000 0.0000
## countryHungary 0.0000 0.0000
## countryIceland 0.0000 0.0000
## countryIndia 0.0000 0.0000
## countryIndonesia 0.0000 0.0000
## countryIran 0.0031 0.0557
## countryIraq 0.0000 0.0000
## countryIreland 0.0031 0.0557
## countryIsrael 0.0000 0.0000
## countryItaly 0.0031 0.0428
## countryJamaica 0.0000 0.0000
## countryJapan 0.0000 0.0062
## countryJordan 0.0000 0.0000
## countryKazakhstan 0.0000 0.0000
## countryKenya 0.0000 0.0000
## countryKuwait 0.0000 0.0000
## countryKyrgyzstan 0.0000 0.0000
## countryLatvia 0.0000 0.0000
## countryLebanon 0.0000 0.0000
## countryLiberia 0.0000 0.0000
## countryLibya 0.0000 0.0000
## countryLiechtenstein 0.0000 0.0000
## countryLithuania 0.0000 0.0000
## countryLuxembourg 0.0000 0.0000
## countryMacau 0.0000 0.0000
## countryMacedonia 0.0000 0.0000
## countryMadagascar 0.0000 0.0000
## countryMalawi 0.0000 0.0000
## countryMalaysia 0.0000 0.0000
## countryMaldives 0.0000 0.0000
## countryMali 0.0000 0.0000
## countryMalta 0.0000 0.0000
## countryMarshall Islands 0.0000 0.0000
## countryMauritania 0.0000 0.0000
## countryMauritius 0.0000 0.0000
## countryMexico 0.0062 0.0294
## countryMoldova 0.0000 0.0000
## countryMonaco 0.0000 0.0000
## countryMontenegro 0.0000 0.0000
## countryMorocco 0.0000 0.0000
## countryMozambique 0.0000 0.0000
## countryNamibia 0.0000 0.0000
## countryNetherlands 0.0000 0.0062
## countryNew Zealand 0.0000 0.0124
## countryNicaragua 0.0031 0.0557
## countryNigeria 0.0000 0.0000
## countryNorway 0.0000 0.0000
## countryOman 0.0000 0.0000
## countryPakistan 0.0031 0.0557
## countryPalestinian Territories 0.0000 0.0000
## countryPanama 0.0031 0.0557
## countryParaguay 0.0000 0.0000
## countryPeru 0.0000 0.0000
## countryPhilippines 0.0031 0.1184
## countryPoland 0.0000 0.0000
## countryPortugal 0.0000 0.0000
## countryQatar 0.0000 0.0000
## countryRomania 0.0000 0.0000
## countryRussia 0.0000 0.0124
## countryRwanda 0.0000 0.0000
## countrySaint Lucia 0.0000 0.0000
## countrySaint Vincent and the Grenadines 0.0000 0.0000
## countrySan Marino 0.0000 0.0000
## countrySaudi Arabia 0.0000 0.0000
## countrySenegal 0.0000 0.0000
## countrySerbia 0.0000 0.0000
## countrySingapore 0.0000 0.0000
## countrySint Maarten 0.0000 0.0000
## countrySlovakia 0.0000 0.0000
## countrySlovenia 0.0000 0.0000
## countrySolomon Islands 0.0000 0.0000
## countrySouth Africa 0.0000 0.0000
## countrySouth Korea 0.0000 0.0000
## countrySouth Sudan 0.0000 0.0000
## countrySpain 0.0062 0.0797
## countrySri Lanka 0.0000 0.0000
## countrySwaziland 0.0000 0.0000
## countrySweden 0.0000 0.0062
## countrySwitzerland 0.0000 0.0000
## countrySyria 0.0000 0.0000
## countryTaiwan 0.0000 0.0000
## countryTanzania 0.0000 0.0000
## countryThailand 0.0000 0.0000
## countryTrinidad and Tobago 0.0000 0.0000
## countryTunisia 0.0000 0.0000
## countryTurkey 0.0000 0.0000
## countryTurkmenistan 0.0000 0.0000
## countryUganda 0.0000 0.0000
## countryUkraine 0.0000 0.0000
## countryUnited Arab Emirates 0.0000 0.0000
## countryUnited Kingdom 0.0000 0.0062
## countryUnited States of America 0.0031 0.0619
## countryUruguay 0.0000 0.0000
## countryVenezuela 0.0000 0.0000
## countryVietnam 0.0000 0.0000
## countryZimbabwe 0.0000 0.0000
## relationship_statusLong-term 0.0124 0.0423
## relationship_statusNo relationship 0.0124 0.0268
## relationship_statusShort-term 0.0000 0.0062
## relationship_length 0.0186 0.1312
##
## Sample Sizes:
## Control Treated
## All 37735 323
## Matched 323 323
## Unmatched 37412 0
## Discarded 0 0bal.tab(nnm_rel, m.threshold = 0.1, un = T) #smd## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss_rel,
## method = "nearest")
##
## Balance Measures
## Type Diff.Un Diff.Adj
## distance Distance 0.7498 0.0002
## language_chinese Binary -0.0818 0.0000
## language_danish Binary -0.0583 -0.0213
## language_english Binary 0.5598 0.0310
## language_french Binary -0.4891 0.0123
## language_german Binary 0.0068 -0.0261
## language_italian Binary -0.1207 0.0000
## language_japanese Binary 0.0186 -0.0188
## language_portuguese Binary -0.0927 -0.0139
## language_russian Binary -0.0144 0.0000
## language_spanish Binary -0.3140 0.0000
## age Contin. -0.1555 -0.0191
## country_Afghanistan Binary -0.0073 0.0000
## country_Albania Binary -0.0090 0.0000
## country_Algeria Binary 0.0495 0.0557
## country_Andorra Binary -0.0164 0.0000
## country_Angola Binary -0.0073 0.0000
## country_Antigua and Barbuda Binary -0.0103 0.0000
## country_Argentina Binary 0.0442 0.0213
## country_Armenia Binary -0.0103 0.0000
## country_Aruba Binary -0.0073 0.0000
## country_Australia Binary 0.1284 0.0000
## country_Austria Binary -0.0347 0.0000
## country_Azerbaijan Binary -0.0052 0.0000
## country_Bahamas, The Binary -0.0103 0.0000
## country_Bahrain Binary -0.0090 0.0000
## country_Barbados Binary -0.0103 0.0000
## country_Belarus Binary -0.0347 0.0000
## country_Belgium Binary -0.0960 0.0000
## country_Belize Binary -0.0090 0.0000
## country_Benin Binary -0.0052 0.0000
## country_Bhutan Binary -0.0052 0.0000
## country_Bolivia Binary -0.0351 0.0000
## country_Bosnia and Herzegovina Binary -0.0171 0.0000
## country_Botswana Binary -0.0052 0.0000
## country_Brazil Binary -0.0738 0.0000
## country_Brunei Binary -0.0052 0.0000
## country_Bulgaria Binary -0.0259 0.0000
## country_Burkina Faso Binary -0.0090 0.0000
## country_Burma Binary -0.0073 0.0000
## country_Cambodia Binary -0.0052 0.0000
## country_Cameroon Binary -0.0164 0.0000
## country_Canada Binary 0.1296 -0.0526
## country_Central African Republic Binary -0.0073 0.0000
## country_Chile Binary -0.0140 0.0000
## country_China Binary -0.0798 0.0000
## country_Colombia Binary -0.1066 0.0000
## country_Costa Rica Binary 0.0013 0.0000
## country_Cote d'Ivoire Binary -0.0127 0.0000
## country_Croatia Binary -0.0231 0.0000
## country_Cuba Binary -0.0090 0.0000
## country_Curacao Binary -0.0052 0.0000
## country_Cyprus Binary -0.0090 0.0000
## country_Czechia Binary 0.0888 -0.0323
## country_Denmark Binary -0.0641 -0.0425
## country_Djibouti Binary -0.0052 0.0000
## country_Dominica Binary -0.0073 0.0000
## country_Dominican Republic Binary 0.0171 0.0557
## country_East Timor (see Timor-Leste) Binary -0.0052 0.0000
## country_Ecuador Binary -0.0744 0.0000
## country_Egypt Binary -0.0137 0.0000
## country_El Salvador Binary -0.0411 0.0000
## country_Estonia Binary -0.0259 0.0000
## country_Ethiopia Binary -0.0052 0.0000
## country_Fiji Binary -0.0103 0.0000
## country_Finland Binary 0.0580 0.0395
## country_France Binary -0.5778 0.0000
## country_Gabon Binary -0.0073 0.0000
## country_Gambia, The Binary -0.0052 0.0000
## country_Georgia Binary -0.0116 0.0000
## country_Germany Binary -0.0080 -0.0188
## country_Ghana Binary -0.0116 0.0000
## country_Greece Binary -0.0231 0.0000
## country_Grenada Binary -0.0090 0.0000
## country_Guatemala Binary 0.0370 0.0395
## country_Guinea Binary -0.0052 0.0000
## country_Guyana Binary -0.0137 0.0000
## country_Haiti Binary -0.0116 0.0000
## country_Holy See Binary -0.0073 0.0000
## country_Honduras Binary -0.0315 0.0000
## country_Hong Kong Binary -0.0253 0.0000
## country_Hungary Binary -0.0269 0.0000
## country_Iceland Binary -0.0207 0.0000
## country_India Binary -0.0486 0.0000
## country_Indonesia Binary -0.0323 0.0000
## country_Iran Binary 0.0471 0.0557
## country_Iraq Binary -0.0073 0.0000
## country_Ireland Binary -0.0158 0.0557
## country_Israel Binary -0.0319 0.0000
## country_Italy Binary -0.0770 -0.0143
## country_Jamaica Binary -0.0155 0.0000
## country_Japan Binary 0.0337 0.0000
## country_Jordan Binary -0.0090 0.0000
## country_Kazakhstan Binary -0.0207 0.0000
## country_Kenya Binary -0.0171 0.0000
## country_Kuwait Binary -0.0073 0.0000
## country_Kyrgyzstan Binary -0.0090 0.0000
## country_Latvia Binary -0.0213 0.0000
## country_Lebanon Binary -0.0155 0.0000
## country_Liberia Binary -0.0052 0.0000
## country_Libya Binary -0.0073 0.0000
## country_Liechtenstein Binary -0.0073 0.0000
## country_Lithuania Binary -0.0243 0.0000
## country_Luxembourg Binary -0.0339 0.0000
## country_Macau Binary -0.0073 0.0000
## country_Macedonia Binary -0.0052 0.0000
## country_Madagascar Binary -0.0090 0.0000
## country_Malawi Binary -0.0052 0.0000
## country_Malaysia Binary -0.0347 0.0000
## country_Maldives Binary -0.0052 0.0000
## country_Mali Binary -0.0073 0.0000
## country_Malta Binary -0.0137 0.0000
## country_Marshall Islands Binary -0.0052 0.0000
## country_Mauritania Binary -0.0052 0.0000
## country_Mauritius Binary -0.0090 0.0000
## country_Mexico Binary -0.1919 0.0294
## country_Moldova Binary -0.0090 0.0000
## country_Monaco Binary -0.0052 0.0000
## country_Montenegro Binary -0.0052 0.0000
## country_Morocco Binary -0.0253 0.0000
## country_Mozambique Binary -0.0052 0.0000
## country_Namibia Binary -0.0127 0.0000
## country_Netherlands Binary -0.0063 0.0000
## country_New Zealand Binary 0.0623 0.0000
## country_Nicaragua Binary 0.0443 0.0557
## country_Nigeria Binary -0.0237 0.0000
## country_Norway Binary -0.0323 0.0000
## country_Oman Binary -0.0073 0.0000
## country_Pakistan Binary 0.0510 0.0557
## country_Palestinian Territories Binary -0.0073 0.0000
## country_Panama Binary 0.0324 -0.0557
## country_Paraguay Binary -0.0259 0.0000
## country_Peru Binary -0.0926 0.0000
## country_Philippines Binary 0.0563 0.0395
## country_Poland Binary -0.0243 0.0000
## country_Portugal Binary -0.0728 0.0000
## country_Qatar Binary -0.0137 0.0000
## country_Romania Binary -0.0401 0.0000
## country_Russia Binary 0.0400 0.0000
## country_Rwanda Binary -0.0052 0.0000
## country_Saint Lucia Binary -0.0090 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0052 0.0000
## country_San Marino Binary -0.0052 0.0000
## country_Saudi Arabia Binary -0.0155 0.0000
## country_Senegal Binary -0.0164 0.0000
## country_Serbia Binary -0.0193 0.0000
## country_Singapore Binary 0.0252 0.0000
## country_Sint Maarten Binary -0.0052 0.0000
## country_Slovakia Binary -0.0186 0.0000
## country_Slovenia Binary -0.0179 0.0000
## country_Solomon Islands Binary -0.0052 0.0000
## country_South Africa Binary 0.0090 0.0000
## country_South Korea Binary -0.0186 0.0000
## country_South Sudan Binary -0.0052 0.0000
## country_Spain Binary -0.1184 -0.0398
## country_Sri Lanka Binary -0.0116 0.0000
## country_Swaziland Binary -0.0052 0.0000
## country_Sweden Binary 0.0109 0.0000
## country_Switzerland Binary 0.0056 0.0000
## country_Syria Binary -0.0052 0.0000
## country_Taiwan Binary -0.0193 0.0000
## country_Tanzania Binary -0.0052 0.0000
## country_Thailand Binary -0.0164 0.0000
## country_Trinidad and Tobago Binary -0.0193 0.0000
## country_Tunisia Binary -0.0164 0.0000
## country_Turkey Binary -0.0259 0.0000
## country_Turkmenistan Binary -0.0116 0.0000
## country_Uganda Binary -0.0073 0.0000
## country_Ukraine Binary -0.0427 0.0000
## country_United Arab Emirates Binary -0.0279 0.0000
## country_United Kingdom Binary 0.0949 0.0000
## country_United States of America Binary 0.3945 0.0069
## country_Uruguay Binary -0.0430 0.0000
## country_Venezuela Binary -0.0659 0.0000
## country_Vietnam Binary -0.0137 0.0000
## country_Zimbabwe Binary -0.0073 0.0000
## relationship_status_Long-term Binary -0.8511 0.0282
## relationship_status_No relationship Binary 1.0015 -0.0268
## relationship_status_Short-term Binary -0.4134 0.0000
## relationship_length Contin. -0.3674 -0.0078
## M.Threshold
## distance Balanced, <0.1
## language_chinese Balanced, <0.1
## language_danish Balanced, <0.1
## language_english Balanced, <0.1
## language_french Balanced, <0.1
## language_german Balanced, <0.1
## language_italian Balanced, <0.1
## language_japanese Balanced, <0.1
## language_portuguese Balanced, <0.1
## language_russian Balanced, <0.1
## language_spanish Balanced, <0.1
## age Balanced, <0.1
## country_Afghanistan Balanced, <0.1
## country_Albania Balanced, <0.1
## country_Algeria Balanced, <0.1
## country_Andorra Balanced, <0.1
## country_Angola Balanced, <0.1
## country_Antigua and Barbuda Balanced, <0.1
## country_Argentina Balanced, <0.1
## country_Armenia Balanced, <0.1
## country_Aruba Balanced, <0.1
## country_Australia Balanced, <0.1
## country_Austria Balanced, <0.1
## country_Azerbaijan Balanced, <0.1
## country_Bahamas, The Balanced, <0.1
## country_Bahrain Balanced, <0.1
## country_Barbados Balanced, <0.1
## country_Belarus Balanced, <0.1
## country_Belgium Balanced, <0.1
## country_Belize Balanced, <0.1
## country_Benin Balanced, <0.1
## country_Bhutan Balanced, <0.1
## country_Bolivia Balanced, <0.1
## country_Bosnia and Herzegovina Balanced, <0.1
## country_Botswana Balanced, <0.1
## country_Brazil Balanced, <0.1
## country_Brunei Balanced, <0.1
## country_Bulgaria Balanced, <0.1
## country_Burkina Faso Balanced, <0.1
## country_Burma Balanced, <0.1
## country_Cambodia Balanced, <0.1
## country_Cameroon Balanced, <0.1
## country_Canada Balanced, <0.1
## country_Central African Republic Balanced, <0.1
## country_Chile Balanced, <0.1
## country_China Balanced, <0.1
## country_Colombia Balanced, <0.1
## country_Costa Rica Balanced, <0.1
## country_Cote d'Ivoire Balanced, <0.1
## country_Croatia Balanced, <0.1
## country_Cuba Balanced, <0.1
## country_Curacao Balanced, <0.1
## country_Cyprus Balanced, <0.1
## country_Czechia Balanced, <0.1
## country_Denmark Balanced, <0.1
## country_Djibouti Balanced, <0.1
## country_Dominica Balanced, <0.1
## country_Dominican Republic Balanced, <0.1
## country_East Timor (see Timor-Leste) Balanced, <0.1
## country_Ecuador Balanced, <0.1
## country_Egypt Balanced, <0.1
## country_El Salvador Balanced, <0.1
## country_Estonia Balanced, <0.1
## country_Ethiopia Balanced, <0.1
## country_Fiji Balanced, <0.1
## country_Finland Balanced, <0.1
## country_France Balanced, <0.1
## country_Gabon Balanced, <0.1
## country_Gambia, The Balanced, <0.1
## country_Georgia Balanced, <0.1
## country_Germany Balanced, <0.1
## country_Ghana Balanced, <0.1
## country_Greece Balanced, <0.1
## country_Grenada Balanced, <0.1
## country_Guatemala Balanced, <0.1
## country_Guinea Balanced, <0.1
## country_Guyana Balanced, <0.1
## country_Haiti Balanced, <0.1
## country_Holy See Balanced, <0.1
## country_Honduras Balanced, <0.1
## country_Hong Kong Balanced, <0.1
## country_Hungary Balanced, <0.1
## country_Iceland Balanced, <0.1
## country_India Balanced, <0.1
## country_Indonesia Balanced, <0.1
## country_Iran Balanced, <0.1
## country_Iraq Balanced, <0.1
## country_Ireland Balanced, <0.1
## country_Israel Balanced, <0.1
## country_Italy Balanced, <0.1
## country_Jamaica Balanced, <0.1
## country_Japan Balanced, <0.1
## country_Jordan Balanced, <0.1
## country_Kazakhstan Balanced, <0.1
## country_Kenya Balanced, <0.1
## country_Kuwait Balanced, <0.1
## country_Kyrgyzstan Balanced, <0.1
## country_Latvia Balanced, <0.1
## country_Lebanon Balanced, <0.1
## country_Liberia Balanced, <0.1
## country_Libya Balanced, <0.1
## country_Liechtenstein Balanced, <0.1
## country_Lithuania Balanced, <0.1
## country_Luxembourg Balanced, <0.1
## country_Macau Balanced, <0.1
## country_Macedonia Balanced, <0.1
## country_Madagascar Balanced, <0.1
## country_Malawi Balanced, <0.1
## country_Malaysia Balanced, <0.1
## country_Maldives Balanced, <0.1
## country_Mali Balanced, <0.1
## country_Malta Balanced, <0.1
## country_Marshall Islands Balanced, <0.1
## country_Mauritania Balanced, <0.1
## country_Mauritius Balanced, <0.1
## country_Mexico Balanced, <0.1
## country_Moldova Balanced, <0.1
## country_Monaco Balanced, <0.1
## country_Montenegro Balanced, <0.1
## country_Morocco Balanced, <0.1
## country_Mozambique Balanced, <0.1
## country_Namibia Balanced, <0.1
## country_Netherlands Balanced, <0.1
## country_New Zealand Balanced, <0.1
## country_Nicaragua Balanced, <0.1
## country_Nigeria Balanced, <0.1
## country_Norway Balanced, <0.1
## country_Oman Balanced, <0.1
## country_Pakistan Balanced, <0.1
## country_Palestinian Territories Balanced, <0.1
## country_Panama Balanced, <0.1
## country_Paraguay Balanced, <0.1
## country_Peru Balanced, <0.1
## country_Philippines Balanced, <0.1
## country_Poland Balanced, <0.1
## country_Portugal Balanced, <0.1
## country_Qatar Balanced, <0.1
## country_Romania Balanced, <0.1
## country_Russia Balanced, <0.1
## country_Rwanda Balanced, <0.1
## country_Saint Lucia Balanced, <0.1
## country_Saint Vincent and the Grenadines Balanced, <0.1
## country_San Marino Balanced, <0.1
## country_Saudi Arabia Balanced, <0.1
## country_Senegal Balanced, <0.1
## country_Serbia Balanced, <0.1
## country_Singapore Balanced, <0.1
## country_Sint Maarten Balanced, <0.1
## country_Slovakia Balanced, <0.1
## country_Slovenia Balanced, <0.1
## country_Solomon Islands Balanced, <0.1
## country_South Africa Balanced, <0.1
## country_South Korea Balanced, <0.1
## country_South Sudan Balanced, <0.1
## country_Spain Balanced, <0.1
## country_Sri Lanka Balanced, <0.1
## country_Swaziland Balanced, <0.1
## country_Sweden Balanced, <0.1
## country_Switzerland Balanced, <0.1
## country_Syria Balanced, <0.1
## country_Taiwan Balanced, <0.1
## country_Tanzania Balanced, <0.1
## country_Thailand Balanced, <0.1
## country_Trinidad and Tobago Balanced, <0.1
## country_Tunisia Balanced, <0.1
## country_Turkey Balanced, <0.1
## country_Turkmenistan Balanced, <0.1
## country_Uganda Balanced, <0.1
## country_Ukraine Balanced, <0.1
## country_United Arab Emirates Balanced, <0.1
## country_United Kingdom Balanced, <0.1
## country_United States of America Balanced, <0.1
## country_Uruguay Balanced, <0.1
## country_Venezuela Balanced, <0.1
## country_Vietnam Balanced, <0.1
## country_Zimbabwe Balanced, <0.1
## relationship_status_Long-term Balanced, <0.1
## relationship_status_No relationship Balanced, <0.1
## relationship_status_Short-term Balanced, <0.1
## relationship_length Balanced, <0.1
##
## Balance tally for mean differences
## count
## Balanced, <0.1 180
## Not Balanced, >0.1 0
##
## Variable with the greatest mean difference
## Variable Diff.Adj M.Threshold
## country_Algeria 0.0557 Balanced, <0.1
##
## Sample sizes
## Control Treated
## All 37735 323
## Matched 323 323
## Unmatched 37412 0bal.tab(nnm_rel, v.threshold = 2, un = T) #vr (can only be calculated for continuous variables)## Call
## matchit(formula = sexual_orientation ~ language + age + country +
## relationship_status + relationship_length, data = data_main_nomiss_rel,
## method = "nearest")
##
## Balance Measures
## Type Diff.Un V.Ratio.Un Diff.Adj
## distance Distance 0.7498 5.0537 0.0002
## language_chinese Binary -0.0818 . 0.0000
## language_danish Binary -0.0583 . -0.0213
## language_english Binary 0.5598 . 0.0310
## language_french Binary -0.4891 . 0.0123
## language_german Binary 0.0068 . -0.0261
## language_italian Binary -0.1207 . 0.0000
## language_japanese Binary 0.0186 . -0.0188
## language_portuguese Binary -0.0927 . -0.0139
## language_russian Binary -0.0144 . 0.0000
## language_spanish Binary -0.3140 . 0.0000
## age Contin. -0.1555 0.8414 -0.0191
## country_Afghanistan Binary -0.0073 . 0.0000
## country_Albania Binary -0.0090 . 0.0000
## country_Algeria Binary 0.0495 . 0.0557
## country_Andorra Binary -0.0164 . 0.0000
## country_Angola Binary -0.0073 . 0.0000
## country_Antigua and Barbuda Binary -0.0103 . 0.0000
## country_Argentina Binary 0.0442 . 0.0213
## country_Armenia Binary -0.0103 . 0.0000
## country_Aruba Binary -0.0073 . 0.0000
## country_Australia Binary 0.1284 . 0.0000
## country_Austria Binary -0.0347 . 0.0000
## country_Azerbaijan Binary -0.0052 . 0.0000
## country_Bahamas, The Binary -0.0103 . 0.0000
## country_Bahrain Binary -0.0090 . 0.0000
## country_Barbados Binary -0.0103 . 0.0000
## country_Belarus Binary -0.0347 . 0.0000
## country_Belgium Binary -0.0960 . 0.0000
## country_Belize Binary -0.0090 . 0.0000
## country_Benin Binary -0.0052 . 0.0000
## country_Bhutan Binary -0.0052 . 0.0000
## country_Bolivia Binary -0.0351 . 0.0000
## country_Bosnia and Herzegovina Binary -0.0171 . 0.0000
## country_Botswana Binary -0.0052 . 0.0000
## country_Brazil Binary -0.0738 . 0.0000
## country_Brunei Binary -0.0052 . 0.0000
## country_Bulgaria Binary -0.0259 . 0.0000
## country_Burkina Faso Binary -0.0090 . 0.0000
## country_Burma Binary -0.0073 . 0.0000
## country_Cambodia Binary -0.0052 . 0.0000
## country_Cameroon Binary -0.0164 . 0.0000
## country_Canada Binary 0.1296 . -0.0526
## country_Central African Republic Binary -0.0073 . 0.0000
## country_Chile Binary -0.0140 . 0.0000
## country_China Binary -0.0798 . 0.0000
## country_Colombia Binary -0.1066 . 0.0000
## country_Costa Rica Binary 0.0013 . 0.0000
## country_Cote d'Ivoire Binary -0.0127 . 0.0000
## country_Croatia Binary -0.0231 . 0.0000
## country_Cuba Binary -0.0090 . 0.0000
## country_Curacao Binary -0.0052 . 0.0000
## country_Cyprus Binary -0.0090 . 0.0000
## country_Czechia Binary 0.0888 . -0.0323
## country_Denmark Binary -0.0641 . -0.0425
## country_Djibouti Binary -0.0052 . 0.0000
## country_Dominica Binary -0.0073 . 0.0000
## country_Dominican Republic Binary 0.0171 . 0.0557
## country_East Timor (see Timor-Leste) Binary -0.0052 . 0.0000
## country_Ecuador Binary -0.0744 . 0.0000
## country_Egypt Binary -0.0137 . 0.0000
## country_El Salvador Binary -0.0411 . 0.0000
## country_Estonia Binary -0.0259 . 0.0000
## country_Ethiopia Binary -0.0052 . 0.0000
## country_Fiji Binary -0.0103 . 0.0000
## country_Finland Binary 0.0580 . 0.0395
## country_France Binary -0.5778 . 0.0000
## country_Gabon Binary -0.0073 . 0.0000
## country_Gambia, The Binary -0.0052 . 0.0000
## country_Georgia Binary -0.0116 . 0.0000
## country_Germany Binary -0.0080 . -0.0188
## country_Ghana Binary -0.0116 . 0.0000
## country_Greece Binary -0.0231 . 0.0000
## country_Grenada Binary -0.0090 . 0.0000
## country_Guatemala Binary 0.0370 . 0.0395
## country_Guinea Binary -0.0052 . 0.0000
## country_Guyana Binary -0.0137 . 0.0000
## country_Haiti Binary -0.0116 . 0.0000
## country_Holy See Binary -0.0073 . 0.0000
## country_Honduras Binary -0.0315 . 0.0000
## country_Hong Kong Binary -0.0253 . 0.0000
## country_Hungary Binary -0.0269 . 0.0000
## country_Iceland Binary -0.0207 . 0.0000
## country_India Binary -0.0486 . 0.0000
## country_Indonesia Binary -0.0323 . 0.0000
## country_Iran Binary 0.0471 . 0.0557
## country_Iraq Binary -0.0073 . 0.0000
## country_Ireland Binary -0.0158 . 0.0557
## country_Israel Binary -0.0319 . 0.0000
## country_Italy Binary -0.0770 . -0.0143
## country_Jamaica Binary -0.0155 . 0.0000
## country_Japan Binary 0.0337 . 0.0000
## country_Jordan Binary -0.0090 . 0.0000
## country_Kazakhstan Binary -0.0207 . 0.0000
## country_Kenya Binary -0.0171 . 0.0000
## country_Kuwait Binary -0.0073 . 0.0000
## country_Kyrgyzstan Binary -0.0090 . 0.0000
## country_Latvia Binary -0.0213 . 0.0000
## country_Lebanon Binary -0.0155 . 0.0000
## country_Liberia Binary -0.0052 . 0.0000
## country_Libya Binary -0.0073 . 0.0000
## country_Liechtenstein Binary -0.0073 . 0.0000
## country_Lithuania Binary -0.0243 . 0.0000
## country_Luxembourg Binary -0.0339 . 0.0000
## country_Macau Binary -0.0073 . 0.0000
## country_Macedonia Binary -0.0052 . 0.0000
## country_Madagascar Binary -0.0090 . 0.0000
## country_Malawi Binary -0.0052 . 0.0000
## country_Malaysia Binary -0.0347 . 0.0000
## country_Maldives Binary -0.0052 . 0.0000
## country_Mali Binary -0.0073 . 0.0000
## country_Malta Binary -0.0137 . 0.0000
## country_Marshall Islands Binary -0.0052 . 0.0000
## country_Mauritania Binary -0.0052 . 0.0000
## country_Mauritius Binary -0.0090 . 0.0000
## country_Mexico Binary -0.1919 . 0.0294
## country_Moldova Binary -0.0090 . 0.0000
## country_Monaco Binary -0.0052 . 0.0000
## country_Montenegro Binary -0.0052 . 0.0000
## country_Morocco Binary -0.0253 . 0.0000
## country_Mozambique Binary -0.0052 . 0.0000
## country_Namibia Binary -0.0127 . 0.0000
## country_Netherlands Binary -0.0063 . 0.0000
## country_New Zealand Binary 0.0623 . 0.0000
## country_Nicaragua Binary 0.0443 . 0.0557
## country_Nigeria Binary -0.0237 . 0.0000
## country_Norway Binary -0.0323 . 0.0000
## country_Oman Binary -0.0073 . 0.0000
## country_Pakistan Binary 0.0510 . 0.0557
## country_Palestinian Territories Binary -0.0073 . 0.0000
## country_Panama Binary 0.0324 . -0.0557
## country_Paraguay Binary -0.0259 . 0.0000
## country_Peru Binary -0.0926 . 0.0000
## country_Philippines Binary 0.0563 . 0.0395
## country_Poland Binary -0.0243 . 0.0000
## country_Portugal Binary -0.0728 . 0.0000
## country_Qatar Binary -0.0137 . 0.0000
## country_Romania Binary -0.0401 . 0.0000
## country_Russia Binary 0.0400 . 0.0000
## country_Rwanda Binary -0.0052 . 0.0000
## country_Saint Lucia Binary -0.0090 . 0.0000
## country_Saint Vincent and the Grenadines Binary -0.0052 . 0.0000
## country_San Marino Binary -0.0052 . 0.0000
## country_Saudi Arabia Binary -0.0155 . 0.0000
## country_Senegal Binary -0.0164 . 0.0000
## country_Serbia Binary -0.0193 . 0.0000
## country_Singapore Binary 0.0252 . 0.0000
## country_Sint Maarten Binary -0.0052 . 0.0000
## country_Slovakia Binary -0.0186 . 0.0000
## country_Slovenia Binary -0.0179 . 0.0000
## country_Solomon Islands Binary -0.0052 . 0.0000
## country_South Africa Binary 0.0090 . 0.0000
## country_South Korea Binary -0.0186 . 0.0000
## country_South Sudan Binary -0.0052 . 0.0000
## country_Spain Binary -0.1184 . -0.0398
## country_Sri Lanka Binary -0.0116 . 0.0000
## country_Swaziland Binary -0.0052 . 0.0000
## country_Sweden Binary 0.0109 . 0.0000
## country_Switzerland Binary 0.0056 . 0.0000
## country_Syria Binary -0.0052 . 0.0000
## country_Taiwan Binary -0.0193 . 0.0000
## country_Tanzania Binary -0.0052 . 0.0000
## country_Thailand Binary -0.0164 . 0.0000
## country_Trinidad and Tobago Binary -0.0193 . 0.0000
## country_Tunisia Binary -0.0164 . 0.0000
## country_Turkey Binary -0.0259 . 0.0000
## country_Turkmenistan Binary -0.0116 . 0.0000
## country_Uganda Binary -0.0073 . 0.0000
## country_Ukraine Binary -0.0427 . 0.0000
## country_United Arab Emirates Binary -0.0279 . 0.0000
## country_United Kingdom Binary 0.0949 . 0.0000
## country_United States of America Binary 0.3945 . 0.0069
## country_Uruguay Binary -0.0430 . 0.0000
## country_Venezuela Binary -0.0659 . 0.0000
## country_Vietnam Binary -0.0137 . 0.0000
## country_Zimbabwe Binary -0.0073 . 0.0000
## relationship_status_Long-term Binary -0.8511 . 0.0282
## relationship_status_No relationship Binary 1.0015 . -0.0268
## relationship_status_Short-term Binary -0.4134 . 0.0000
## relationship_length Contin. -0.3674 0.5370 -0.0078
## V.Ratio.Adj V.Threshold
## distance 1.0009 Balanced, <2
## language_chinese .
## language_danish .
## language_english .
## language_french .
## language_german .
## language_italian .
## language_japanese .
## language_portuguese .
## language_russian .
## language_spanish .
## age 0.9325 Balanced, <2
## country_Afghanistan .
## country_Albania .
## country_Algeria .
## country_Andorra .
## country_Angola .
## country_Antigua and Barbuda .
## country_Argentina .
## country_Armenia .
## country_Aruba .
## country_Australia .
## country_Austria .
## country_Azerbaijan .
## country_Bahamas, The .
## country_Bahrain .
## country_Barbados .
## country_Belarus .
## country_Belgium .
## country_Belize .
## country_Benin .
## country_Bhutan .
## country_Bolivia .
## country_Bosnia and Herzegovina .
## country_Botswana .
## country_Brazil .
## country_Brunei .
## country_Bulgaria .
## country_Burkina Faso .
## country_Burma .
## country_Cambodia .
## country_Cameroon .
## country_Canada .
## country_Central African Republic .
## country_Chile .
## country_China .
## country_Colombia .
## country_Costa Rica .
## country_Cote d'Ivoire .
## country_Croatia .
## country_Cuba .
## country_Curacao .
## country_Cyprus .
## country_Czechia .
## country_Denmark .
## country_Djibouti .
## country_Dominica .
## country_Dominican Republic .
## country_East Timor (see Timor-Leste) .
## country_Ecuador .
## country_Egypt .
## country_El Salvador .
## country_Estonia .
## country_Ethiopia .
## country_Fiji .
## country_Finland .
## country_France .
## country_Gabon .
## country_Gambia, The .
## country_Georgia .
## country_Germany .
## country_Ghana .
## country_Greece .
## country_Grenada .
## country_Guatemala .
## country_Guinea .
## country_Guyana .
## country_Haiti .
## country_Holy See .
## country_Honduras .
## country_Hong Kong .
## country_Hungary .
## country_Iceland .
## country_India .
## country_Indonesia .
## country_Iran .
## country_Iraq .
## country_Ireland .
## country_Israel .
## country_Italy .
## country_Jamaica .
## country_Japan .
## country_Jordan .
## country_Kazakhstan .
## country_Kenya .
## country_Kuwait .
## country_Kyrgyzstan .
## country_Latvia .
## country_Lebanon .
## country_Liberia .
## country_Libya .
## country_Liechtenstein .
## country_Lithuania .
## country_Luxembourg .
## country_Macau .
## country_Macedonia .
## country_Madagascar .
## country_Malawi .
## country_Malaysia .
## country_Maldives .
## country_Mali .
## country_Malta .
## country_Marshall Islands .
## country_Mauritania .
## country_Mauritius .
## country_Mexico .
## country_Moldova .
## country_Monaco .
## country_Montenegro .
## country_Morocco .
## country_Mozambique .
## country_Namibia .
## country_Netherlands .
## country_New Zealand .
## country_Nicaragua .
## country_Nigeria .
## country_Norway .
## country_Oman .
## country_Pakistan .
## country_Palestinian Territories .
## country_Panama .
## country_Paraguay .
## country_Peru .
## country_Philippines .
## country_Poland .
## country_Portugal .
## country_Qatar .
## country_Romania .
## country_Russia .
## country_Rwanda .
## country_Saint Lucia .
## country_Saint Vincent and the Grenadines .
## country_San Marino .
## country_Saudi Arabia .
## country_Senegal .
## country_Serbia .
## country_Singapore .
## country_Sint Maarten .
## country_Slovakia .
## country_Slovenia .
## country_Solomon Islands .
## country_South Africa .
## country_South Korea .
## country_South Sudan .
## country_Spain .
## country_Sri Lanka .
## country_Swaziland .
## country_Sweden .
## country_Switzerland .
## country_Syria .
## country_Taiwan .
## country_Tanzania .
## country_Thailand .
## country_Trinidad and Tobago .
## country_Tunisia .
## country_Turkey .
## country_Turkmenistan .
## country_Uganda .
## country_Ukraine .
## country_United Arab Emirates .
## country_United Kingdom .
## country_United States of America .
## country_Uruguay .
## country_Venezuela .
## country_Vietnam .
## country_Zimbabwe .
## relationship_status_Long-term .
## relationship_status_No relationship .
## relationship_status_Short-term .
## relationship_length 0.7975 Balanced, <2
##
## Balance tally for variance ratios
## count
## Balanced, <2 3
## Not Balanced, >2 0
##
## Variable with the greatest variance ratio
## Variable V.Ratio.Adj V.Threshold
## relationship_length 0.7975 Balanced, <2
##
## Sample sizes
## Control Treated
## All 37735 323
## Matched 323 323
## Unmatched 37412 0All variables balanced.
Visualize
# Q-Q plot
plot(nnm_rel, type = "qq", interactive = FALSE, which.xs = c("age", "relationship_length"))
# looks better after matching
# Jitter plot
plot(nnm_rel, type = "jitter", interactive = FALSE)
# with cobalt package:
# distributional density/histogram
bal.plot(nnm_rel, var.name = "age", which = "both", grid = T)
bal.plot(nnm_rel, var.name = "relationship_length", which = "both", grid = T)
bal.plot(nnm_rel, var.name = "relationship_status", which = "both", grid = T)
bal.plot(nnm_rel, var.name = "language", which = "both", grid = T)
bal.plot(nnm_rel, var.name = "country", which = "both", grid = T) # not readable
love.plot(bal.tab(nnm_rel, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
# not readable due to coutnry variable
# remove country variable for love plot
nnm_rel_without_country = nnm_rel
nnm_rel_without_country$X[c("country")] <- NULL
love.plot(bal.tab(nnm_rel_without_country, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F) 
country and language
create subsamples
# create subsamples based on sexual orientation
asexual_nnm_rel = nnm_rel_data %>% filter(sexual_orientation == "Asexual")
heterosex_nnm_rel = nnm_rel_data %>% filter(sexual_orientation =="Straight/Heterosexual")
# match subsamples based on assigned subclass (propensity-score matched pairs will be matched)
matched_rel = inner_join(asexual_nnm_rel, heterosex_nnm_rel, by = "subclass")country
# create variable indicating whether pair comes from same country, if so country is printed
matched_rel$same_country = ifelse(matched_rel$country.x == matched_rel$country.y, matched_rel$country.x, "no")
# how many pairs per country
table(matched_rel$same_country) ##
## Argentina Australia Austria
## 6 10 3
## Brazil Canada Chile
## 17 17 3
## Colombia Costa Rica Czechia
## 3 1 2
## Denmark Finland France
## 7 1 14
## Germany Guatemala Italy
## 40 1 15
## Japan Mexico New Zealand
## 9 13 1
## no Panama Russia
## 33 1 4
## Singapore South Africa Spain
## 1 1 7
## Switzerland United Kingdom United States of America
## 7 20 86# countries of pairs from differing countries
matched_rel$country_1 = ifelse(matched_rel$country.x != matched_rel$country.y, matched_rel$country.x, "no")
matched_rel$country_2 = ifelse(matched_rel$country.x != matched_rel$country.y, matched_rel$country.y, "no")
# table
xtabs(~country_1 + country_2, matched_rel) ## country_2
## country_1 Australia Canada Colombia Czechia Denmark Germany
## Algeria 0 0 0 1 0 0
## Argentina 0 0 1 0 0 0
## Australia 0 0 0 0 0 0
## Canada 0 0 0 0 0 0
## Colombia 0 1 0 0 0 0
## Czechia 0 0 0 0 0 0
## Dominican Republic 0 0 0 0 0 0
## Finland 0 1 0 0 0 0
## Guatemala 0 0 0 0 0 0
## Iran 0 0 0 0 1 0
## Ireland 0 0 0 0 1 0
## Italy 0 0 0 0 0 0
## Japan 0 0 0 0 0 0
## Mexico 0 1 0 0 0 0
## Netherlands 0 0 0 0 0 1
## New Zealand 1 0 0 0 0 0
## Nicaragua 0 0 0 1 0 0
## no 0 0 0 0 0 0
## Pakistan 0 0 0 0 0 0
## Philippines 0 2 0 0 0 0
## Russia 0 0 0 0 0 0
## Spain 0 0 0 0 0 0
## Sweden 0 0 0 0 0 1
## United Kingdom 0 0 0 0 0 0
## United States of America 0 1 0 0 0 0
## country_2
## country_1 Italy Japan Netherlands New Zealand no Panama
## Algeria 0 0 0 0 0 0
## Argentina 0 0 0 0 0 0
## Australia 0 0 0 0 0 0
## Canada 0 0 0 1 0 0
## Colombia 0 0 0 0 0 0
## Czechia 0 0 0 0 0 0
## Dominican Republic 1 0 0 0 0 0
## Finland 0 0 0 0 0 0
## Guatemala 0 0 0 0 0 0
## Iran 0 0 0 0 0 0
## Ireland 0 0 0 0 0 0
## Italy 0 0 0 0 0 0
## Japan 0 0 0 0 0 0
## Mexico 0 0 0 0 0 0
## Netherlands 0 0 0 0 0 0
## New Zealand 0 0 0 0 0 0
## Nicaragua 0 0 0 0 0 0
## no 0 0 0 0 290 0
## Pakistan 0 1 0 0 0 0
## Philippines 0 0 0 0 0 0
## Russia 1 0 1 0 0 0
## Spain 0 0 0 0 0 0
## Sweden 0 0 0 0 0 0
## United Kingdom 0 0 0 0 0 0
## United States of America 0 0 0 1 0 1
## country_2
## country_1 Philippines Russia Spain Sweden United Kingdom
## Algeria 0 0 0 0 0
## Argentina 0 0 0 0 0
## Australia 0 0 0 0 0
## Canada 0 0 1 0 0
## Colombia 0 0 0 0 0
## Czechia 0 0 0 0 1
## Dominican Republic 0 0 0 0 0
## Finland 0 0 0 0 0
## Guatemala 0 0 0 1 0
## Iran 0 0 0 0 0
## Ireland 0 0 0 0 0
## Italy 0 0 1 0 0
## Japan 0 1 0 0 0
## Mexico 0 0 0 0 0
## Netherlands 0 0 0 0 0
## New Zealand 0 0 0 0 0
## Nicaragua 0 0 0 0 0
## no 0 0 0 0 0
## Pakistan 0 0 0 0 0
## Philippines 0 0 0 0 0
## Russia 0 0 0 0 0
## Spain 0 0 0 0 0
## Sweden 0 0 0 0 0
## United Kingdom 0 1 0 0 0
## United States of America 1 0 1 0 0
## country_2
## country_1 United States of America
## Algeria 0
## Argentina 0
## Australia 1
## Canada 0
## Colombia 0
## Czechia 0
## Dominican Republic 0
## Finland 0
## Guatemala 0
## Iran 0
## Ireland 0
## Italy 0
## Japan 0
## Mexico 1
## Netherlands 0
## New Zealand 1
## Nicaragua 0
## no 0
## Pakistan 0
## Philippines 0
## Russia 0
## Spain 1
## Sweden 0
## United Kingdom 0
## United States of America 0# how many pairs share same country?
sum(matched_rel$same_country != "no") # 293## [1] 290sum(matched_rel$same_country != "no")/nrow(matched_rel) # 90%## [1] 0.8978328language
# create variable indicating whether pair answered survey in same language, if so that language is printed
matched_rel$same_language = ifelse(matched_rel$language.x == matched_rel$language.y, matched_rel$language.x, "no")
# how many pairs per language
table(matched_rel$same_language) ##
## danish english french german italian japanese no
## 7 156 19 48 14 9 14
## portuguese russian spanish
## 17 4 35# countries of pairs with different languages
matched_rel$language_1 = ifelse(matched_rel$language.x != matched_rel$language.y, matched_rel$language.x, "no")
matched_rel$language_2 = ifelse(matched_rel$language.x != matched_rel$language.y, matched_rel$language.y, "no")
# table
xtabs(~language_1 + language_2, matched_rel) ## language_2
## language_1 danish english french german japanese no portuguese russian spanish
## english 1 0 1 2 1 0 1 1 1
## french 0 1 0 1 0 0 0 0 1
## no 0 0 0 0 0 309 0 0 0
## russian 0 1 0 0 0 0 0 0 0
## spanish 0 1 1 0 0 0 0 0 0# how many pairs share same language?
sum(matched_rel$same_language != "no") # 308## [1] 309sum(matched_rel$same_language != "no")/nrow(matched_rel) # 94%## [1] 0.9566563overview
describe.by(nnm_rel_data, nnm_rel_data$sexual_orientation) ## Warning: describe.by is deprecated. Please use the describeBy function##
## Descriptive statistics by group
## group: Straight/Heterosexual
## vars n mean sd median trimmed mad min
## id 1 323 44968.47 22674.22 38706.00 45231.51 14443.49 32
## language* 2 323 3.78 2.45 2.00 3.39 1.48 1
## age 3 323 24.33 6.88 22.00 23.14 5.93 18
## sex* 4 323 1.00 0.00 1.00 1.00 0.00 1
## country* 5 323 17.81 9.73 16.00 18.30 16.31 1
## relationship_status* 6 323 1.80 0.51 2.00 1.81 0.00 1
## relationship_length 7 323 1.19 3.54 0.00 0.24 0.00 0
## sexual_orientation* 8 323 1.00 0.00 1.00 1.00 0.00 1
## interest_hookups 9 323 1.73 1.83 1.00 1.49 1.48 0
## interest_nonsexrel 10 323 2.30 1.88 2.00 2.18 2.97 0
## interest_monrel 11 323 5.04 1.47 6.00 5.36 0.00 0
## interest_nonmonrel 12 323 0.83 1.43 0.00 0.50 0.00 0
## interest_altrel 13 323 3.42 2.11 4.00 3.53 2.97 0
## interest_single 14 323 2.25 1.66 2.00 2.17 1.48 0
## interest_parent 15 323 3.99 2.08 5.00 4.24 1.48 0
## distance 16 323 0.03 0.03 0.02 0.03 0.02 0
## weights 17 323 1.00 0.00 1.00 1.00 0.00 1
## subclass* 18 323 162.00 93.39 162.00 162.00 120.09 1
## max range skew kurtosis se
## id 89555.00 89523.00 0.15 -0.45 1261.63
## language* 9.00 8.00 1.11 -0.15 0.14
## age 54.00 36.00 1.54 2.31 0.38
## sex* 1.00 0.00 NaN NaN 0.00
## country* 29.00 28.00 -0.14 -1.45 0.54
## relationship_status* 3.00 2.00 -0.28 0.07 0.03
## relationship_length 31.00 31.00 4.42 24.23 0.20
## sexual_orientation* 1.00 0.00 NaN NaN 0.00
## interest_hookups 6.00 6.00 0.77 -0.53 0.10
## interest_nonsexrel 6.00 6.00 0.27 -1.04 0.10
## interest_monrel 6.00 6.00 -1.90 3.33 0.08
## interest_nonmonrel 6.00 6.00 1.79 2.34 0.08
## interest_altrel 6.00 6.00 -0.35 -1.14 0.12
## interest_single 6.00 6.00 0.23 -0.72 0.09
## interest_parent 6.00 6.00 -0.69 -0.87 0.12
## distance 0.25 0.25 2.81 14.91 0.00
## weights 1.00 0.00 NaN NaN 0.00
## subclass* 323.00 322.00 0.00 -1.21 5.20
## ------------------------------------------------------------
## group: Asexual
## vars n mean sd median trimmed mad min
## id 1 323 50231.63 22773.79 48066.00 50740.48 16756.35 296
## language* 2 323 3.74 2.45 2.00 3.34 0.00 1
## age 3 323 24.20 6.64 22.00 23.09 5.93 18
## sex* 4 323 1.00 0.00 1.00 1.00 0.00 1
## country* 5 323 21.69 11.78 20.00 22.30 20.76 1
## relationship_status* 6 323 1.79 0.52 2.00 1.80 0.00 1
## relationship_length 7 323 1.16 3.16 0.00 0.30 0.00 0
## sexual_orientation* 8 323 2.00 0.00 2.00 2.00 0.00 2
## interest_hookups 9 323 0.66 1.33 0.00 0.32 0.00 0
## interest_nonsexrel 10 323 4.34 1.74 5.00 4.61 1.48 0
## interest_monrel 11 323 4.31 1.69 5.00 4.54 1.48 0
## interest_nonmonrel 12 323 1.13 1.58 0.00 0.84 0.00 0
## interest_altrel 13 323 4.50 1.66 5.00 4.78 1.48 0
## interest_single 14 323 3.33 1.89 3.00 3.41 1.48 0
## interest_parent 15 323 2.34 2.19 2.00 2.18 2.97 0
## distance 16 323 0.03 0.03 0.02 0.03 0.02 0
## weights 17 323 1.00 0.00 1.00 1.00 0.00 1
## subclass* 18 323 162.00 93.39 162.00 162.00 120.09 1
## max range skew kurtosis se
## id 94478.00 94182.00 -0.04 -0.42 1267.17
## language* 9.00 8.00 1.15 -0.06 0.14
## age 56.00 38.00 1.45 2.11 0.37
## sex* 1.00 0.00 NaN NaN 0.00
## country* 35.00 34.00 -0.16 -1.47 0.66
## relationship_status* 3.00 2.00 -0.25 -0.05 0.03
## relationship_length 21.00 21.00 3.56 13.60 0.18
## sexual_orientation* 2.00 0.00 NaN NaN 0.00
## interest_hookups 6.00 6.00 2.32 4.97 0.07
## interest_nonsexrel 6.00 6.00 -1.00 0.19 0.10
## interest_monrel 6.00 6.00 -0.84 -0.09 0.09
## interest_nonmonrel 6.00 6.00 1.27 0.65 0.09
## interest_altrel 6.00 6.00 -1.13 0.59 0.09
## interest_single 6.00 6.00 -0.25 -0.94 0.11
## interest_parent 6.00 6.00 0.43 -1.23 0.12
## distance 0.25 0.25 2.81 14.92 0.00
## weights 1.00 0.00 NaN NaN 0.00
## subclass* 323.00 322.00 0.00 -1.21 5.20save PSM samples as data files
# for partner preference psm sample
write.csv(nnm_data,
file = "data/data_prefs.csv")
# for self-ratings psm sample
write.csv(nnm_self_data,
file = "data/data_self.csv")
# for preferred relationship options psm sample
write.csv(nnm_rel_data,
file = "data/data_rel.csv")save unmatched heterosexuals for each psm sample as data files
# for partner preference sample
data_prefs_unmatched = anti_join(data_main_nomiss, nnm_data) # saves only unmatched cases## Joining, by = c("id", "language", "age", "sex", "country",
## "relationship_status", "relationship_length", "sexual_orientation",
## "pref_imp_ks", "pref_imp_att", "pref_imp_fs", "pref_imp_ca", "pref_imp_ei",
## "pref_imp_sexually_experienced")write.csv(data_prefs_unmatched,
file = "data/data_prefs_unmatched.csv")
# for self-rating sample
data_self_unmatched = anti_join(data_main_nomiss_self, nnm_self_data) ## Joining, by = c("id", "language", "age", "sex", "country",
## "relationship_status", "relationship_length", "sexual_orientation", "self_ks",
## "self_att", "self_fs", "self_ca", "self_ei", "self_sexually_experienced")write.csv(data_self_unmatched,
file = "data/data_self_unmatched.csv")
# for preferred relationship optiopns sample
data_rel_unmatched = anti_join(data_main_nomiss_rel, nnm_rel_data) ## Joining, by = c("id", "language", "age", "sex", "country",
## "relationship_status", "relationship_length", "sexual_orientation",
## "interest_hookups", "interest_nonsexrel", "interest_monrel",
## "interest_nonmonrel", "interest_altrel", "interest_single", "interest_parent")write.csv(data_rel_unmatched,
file = "data/data_rel_unmatched.csv")create plot for methods section
Love plot for nnm in the partner preference sample
# Using alternate variable names
v <- data.frame(old = c("distance", "language_chinese", "language_japanese", "language_german","language_english", "language_italian", "language_danish", "language_spanish", "language_russian", "language_portuguese", "language_french", "age", "relationship_status_Long-term", "relationship_status_No relationship", "relationship_status_Short-term",
"relationship_length"),
new = c("Propensity score", "Chinese", "Japanese", "German", "English", "Italian", "Danish", "Spanish", "Russian", "Portuguese", "French", "Long-term relationship", "No relationship", "Dating/Sexual Relationship","Age", "Relationship length"))
love.plot(bal.tab(nnm_without_country, m.threshold = 0.1),
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F,
sample.names = c("Before matching", "After matching"),
var.names = v) 
love plot comparing all matching algorithms for smd and vr
# smds
love.plot(sexual_orientation ~ language + age +
relationship_status + relationship_length,
data = data_main_nomiss,
stat = "mean.diffs",
grid = T,
stars = "raw",
abs = F,
weights = list(w1 = get.w(om),
w2 = get.w(nnm),
w3 = get.w(nnm_25),
w4 = get.w(nnm_10)),
thresholds = c(m = .1),
s.d.denom = "pooled",
sample.names = c("Unmatched", "Optimal matching", "Nearest-neighbor-matching", "Nearest-neighbor-matching with caliper = 0.25", "Nearest-neighbor-matching with caliper = 0.10"),
var.names = v) 
# variance ratios
love.plot(sexual_orientation ~ language + age +
relationship_status + relationship_length,
data = data_main_nomiss,
stat = "variance.ratios",
grid = T,
stars = "raw",
abs = F,
weights = list(w1 = get.w(om),
w2 = get.w(nnm)),
sample.names = c("Unadjusted", "Optimal Matching", "Nearest-Neighbor-Matching")) 
hilfreiche Funktionen
# check matched pairs
# matchedobject$match.matrix
# nnm --> order in which treated individuals is picked "largest", "smallest" or "random" (m.order = "largest")
# nnm --> caliper (caliper = number) 8caliper = number of standard deviations of difference which can be tolerated between PS of the matched pair (default = 0 -- no caliper)get same results every time?
here is an element of randomness when using matchit() and ties are present in the data. A tie occurs when two units of the same treatment group have the same propensity score. In versions of MatchIt prior to 4.0.0, a member of the tie is randomly sampled, so you may get different results each time.
In MatchIt 4.0.0, which is now on CRAN, you should get the same results each time unless you reshuffle the dataset or select a random matching order. Ties are resolved by choosing units based on the order of the data. This adds a level of arbitrariness but ensures results are replicable when using the exact same dataset